Publications

Aldini, S & Liu, D 2023, 'Human-Robot Collaboration in Agriculture' in Encyclopedia of Smart Agriculture Technologies, Springer International Publishing, pp. 1-9.
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Indraratna, B, Qi, Y & Ngo, T 2023, 'Sustainable Transport Infrastructure Adopting Energy-Absorbing Waste Materials' in Springer Transactions in Civil and Environmental Engineering, Springer Nature Singapore, pp. 159-173.
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Iwanaga, MK, Brennan, MJ, Scussel, O, de Almeida, FCL & Karimi, M 2023, 'On the Pipe Localization Based on the Unwrapped Phase of Ground Surface Vibration Between a Roving Pair of Sensors' in Mechanisms and Machine Science, Springer International Publishing, pp. 1069-1076.
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Muggleton, JM, Scussel, O, Rustighi, E, Brennan, MJ, Almeida, F, Karimi, M & Joseph, PF 2023, 'A Simplified Model of the Ground Surface Vibration Arising from a Leaking Pipe' in Mechanisms and Machine Science, Springer International Publishing, pp. 1021-1030.
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Quartaroli, MM, de Almeida, FCL, Brennan, M, Karimi, M & Campos, BC 2023, 'Waves Propagating in Water-Filled Plastic Pipes Due to Leak Noise Excitation: A Numerical and Experimental Investigation' in Mechanisms and Machine Science, Springer International Publishing, pp. 1114-1121.
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Rizwanul Fattah, IM, Ashrafur, RSM & Ahmed, A 2023, 'Black cumin (Nigella sativa L.) essential oil and aroma quality' in Biochemistry, Nutrition, and Therapeutics of Black Cumin Seed, Elsevier, pp. 71-87.
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Ashfaque Ahmed, S, Elahi M. Soudagar, M, Rahamathullah, I, Sadhik Basha, J, Yunus Khan, TM, Javed, S, Elfasakhany, A & Kalam, MA 2023, 'Investigation of ternary blends of animal fat biodiesel-diethyl ether-diesel fuel on CMFIS-CI engine characteristics', Fuel, vol. 332.
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The experimental study aims at investigation of the ternary blends of animal fat oil biodiesel, diesel and diethyl ether in-terms of performance, emission and combustion analysis in single cylinder four stroke diesel engine. The animal (mono) fat biodiesel was prepared through transesterification process by using alcohol (6:1) and potassium hydroxide (4:1) at 50 °C –55 °C and obtained 90 % of biodiesel. The prepared biodiesel was blended with neat diesel to get the tested blend, animal fat biodiesel (AFB20). To improve the performance parameters of AFB20, the prepared biodiesel blend AFB20 was again blend with diethyl ether (DEE) in various proportions by 10 % and 20 % to obtain the ternary blend AFB20DEE10 and AFB20DEE20. Addition of DEE to AFB20 enhances the physicochemical properties of the biodiesel blends. The first stage of this study was that the neat diesel was examined in the single cylinder four stroke diesel engine to obtain the reference readings. The second and third stage of this investigation was the prepared animal fat biodiesel blend AFB20 and AFB20DEE10 and AFB20DEE20 were examined in the diesel engine. The fourth stage of this investigation was that, the obtained results of neat diesel was compared with the other tested blends. The experimental outcome reveals that, AFB20DEE20 blend perform better than that of the other tested blends. 4.8 % higher fuel is consumed, and 7.1 % lowered brake thermal efficiency and exhaust gas temperature was found in the blend AFB20DEE20 compared to neat diesel. The blend AFB20DEE20 exhibits higher cylinder pressure by 70.43 bar and lower heat release rate by 35.23 J/deg., compared to neat diesel. 0.15 % lower CO emission and 37.8 % lower UBHC emission were found in AFB20DEE20 compared with ND. Reduction of NOx emission by 4.18 % and higher smoke emissions were found in the blend AFB20DEE20 compared to neat diesel.

Beyhan, B, Akcomak, IS & Cetindamar Kozanoglu, D 2023, 'How do technology-based accelerators build their legitimacy as new organizations in an emerging entrepreneurship ecosystem?', Journal of Entrepreneurship in Emerging Economies, pp. 1-37.
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Purpose This paper aims to understand technology-based accelerators’ legitimation efforts in an emerging entrepreneurship ecosystem. Design/methodology/approach This research is based on qualitative inductive methodology using ten Turkish technology-based accelerators. Findings Our analysis indicates that accelerators’ legitimation efforts are shaped around (i) crafting a distinctive identity and mobilizing allies around this identity and (ii) establishing new collaborations to enable collective action. Further, we observe two types of technology-based accelerators, namely “deal flow makers” and “welfare stimulators” in Turkey. These variations among accelerators affect how they build their legitimacy. Different types of accelerators make alliances with different actors in the entrepreneurship ecosystem. Accelerators take collective action to build a collective identity and simultaneously imply how they are distinguished from other organizations in the same category and the ones in the old category. Originality The study presents a framework to understand how accelerators employ strategies and actions to legitimize themselves as new organizations and advocate new norms, values, and routines in an emerging entrepreneurship ecosystem. The framework also highlights how different accelerators support legitimacy building by managing the judgments of diverse audiences and increasing the variety of resources these audiences provide to the ecosystem.

Cetindamar Kozanoglu, D, Renando, C, Bliemel, M & De Klerk, S 2023, 'The evolution of the Australian start-up and innovation ecosystem: Mapping policy developments, key actors, activities, and artefacts', Science, Technology and Society: an international journal devoted to the developing world, pp. 1-34.
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This paper maps the evolution of the Australian start-up and innovation ecosystem by exploring policy developments and mapping the key actors, activities, and artefacts. The study unpacks policy developments over the past two decades to show the government’s role in shaping the innovation ecosystem and the implications for start-ups. We outline the ecosystem’s key actors, including start-ups, scale-ups, support organisations, investors, research institutions, and their growth over time. We examine the artefacts of the ecosystem to understand start-up and innovation performance in a global context. We also explore the activities of the ecosystem in terms of collaboration, research, and development. The paper concludes with a discussion of policy gaps.

Chen, J, Vinod, JS, Indraratna, B, Ngo, T & Liu, Y 2023, 'DEM study on the dynamic responses of a ballasted track under moving loading', Computers and Geotechnics, vol. 153, pp. 105105-105105.
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This paper presents the discrete element modeling of the dynamic response of a ballasted track under moving loads. The DEM model, consisting of sleepers, ballast, and sub-ballast, has been calibrated using field and laboratory data. This model was further used to examine the dynamic responses of the ballasted track subjected to a series of moving traffic loading representing various train axle loads and speeds. The results show that the permanent settlement of the sleeper, the breakage of ballast, and the dynamic stresses in the track substructure increase with an increase in train axle load and speed. As the train moves, the magnitudes of dynamic stresses and the orientations of principal stress axes in the track change continuously, and a more pronounced principal stress rotation is observed at sleeper edges than those underneath sleepers. The capping layer is found to play a critical role in reducing train-induced stress and further alleviating the disturbance from the trains to the subgrade. The interparticle contacts and the vibration of ballast during the movement of the train including the influences of train axle load and speed on the dynamic responses of ballasted railway tracks are captured and analyzed from a micromechanical perspective.

Chen, K, He, X, Liang, F & Sheng, D 2023, 'Contribution of capillary pressure to effective stress for unsaturated soils: Role of wet area fraction and water retention curve', Computers and Geotechnics, vol. 154, pp. 105140-105140.
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Chen, X, Chen, X, Zeng, RJ, Nie, W-B, Yang, L, Wei, W & Ni, B-J 2023, 'Instrumental role of bioreactors in nitrate/nitrite-dependent anaerobic methane oxidation-based biotechnologies for wastewater treatment: A review', Science of The Total Environment, vol. 857, pp. 159728-159728.
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Ci, J, Guo, Z, Long, H, Wen, S & Huang, T 2023, 'Multiple asymptotical ω-periodicity of fractional-order delayed neural networks under state-dependent switching', Neural Networks, vol. 157, pp. 11-25.
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Cui, L, Ma, J, Zhou, Y & Yu, S 2023, 'Boosting Accuracy of Differentially Private Federated Learning in Industrial IoT With Sparse Responses', IEEE Transactions on Industrial Informatics, vol. 19, no. 1, pp. 910-920.
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Devitt, SJ 2023, 'How do we quantify the utility of quantum algorithms?', Research Directions: Quantum Technologies, vol. 1, pp. 1-4.
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Quantum computing advantage emerges not from brute force power, but from subtle differences in information processing that can occur for key bottleneck subroutines. In 2019, the Google Quantum AI team performed a landmark experiment demonstrating quantum computational supremacy (Arute et al., 2019) where they performed a quantum computation that, at the time, could not be done on a classical supercomputer. This was remarkable because it was achieved by a processor with only 53 qubits, an observation that emerged from theoretical work which identified that quantum computers could have a massive advantage for certain specially designed benchmarking tasks (Boixo et al., 2018; Bremner et al., 2016).

Du, Y, Zhang, Y, Pu, X, Fu, X, Li, X, Bai, L, Chen, Y & Qian, J 2023, 'Synthesis of bifunctional NiFe layered double hydroxides (LDH)/Mo-doped g-C3N4 electrocatalyst for efficient methanol oxidation and seawater splitting', Chemosphere, vol. 312, pp. 137203-137203.
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Gholami, K, Azizivahed, A, Arefi, A & Li, L 2023, 'Risk-averse Volt-VAr management scheme to coordinate distributed energy resources with demand response program', International Journal of Electrical Power & Energy Systems, vol. 146, pp. 108761-108761.
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Gul, M, Zulkifli, NWM, Masjuki, HH, Kalam, MA, Mujtaba, MA, Harith, MH, Syahir, AZ, Ahmed, W & Farooq, AB 2023, 'Corrigendum to “Effect of TMP-based-cottonseed oil-biolubricant blends on tribological behavior of cylinder liner-piston ring combinations” [Fuel 278 (2020) 118242]', Fuel, vol. 331, pp. 125742-125742.
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Guo, B, Zhang, X, Su, M, Ma, H, Yang, Y & Siwakoti, YP 2023, 'A Single-Phase Common-Ground Five-Level Transformerless Inverter With Low Component Count for PV Applications', IEEE Transactions on Industrial Electronics, vol. 70, no. 3, pp. 2662-2674.
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Hasanpour, S, Siwakoti, YP & Blaabjerg, F 2023, 'A New High Efficiency High Step-Up DC/DC Converter for Renewable Energy Applications', IEEE Transactions on Industrial Electronics, vol. 70, no. 2, pp. 1489-1500.
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He, T, Wu, M, Aguilera, RP, Lu, DD-C, Liu, Q & Vazquez, S 2023, 'Low Computational Burden Model Predictive Control for Single-Phase Cascaded H-Bridge Converters Without Weighting Factor', IEEE Transactions on Industrial Electronics, vol. 70, no. 3, pp. 2396-2406.
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Hong, Z, Tao, M, Cui, X, Wu, C & Zhao, M 2023, 'Experimental and numerical studies of the blast-induced overbreak and underbreak in underground roadways', Underground Space, vol. 8, pp. 61-79.
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Hossain, SM, Yu, H, Choo, Y, Naidu, G, Han, DS & Shon, HK 2023, 'ZiF-8 induced carbon electrodes for selective lithium recovery from aqueous feed water by employing capacitive deionization system', Desalination, vol. 546, pp. 116201-116201.
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Huang, C-W, Li, Y-L, Lin, C, Bui, X-T, Vo, T-D-H & Ngo, HH 2023, 'Seasonal influence on pollution index and risk of multiple compositions of microplastics in an urban river', Science of The Total Environment, vol. 859, pp. 160021-160021.
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Emerging contaminant microplastics (MPs) are getting worldwide attention for their ubiquitous occurrence and potential risk to the environment. However, the seasonal influence on freshwater MP pollution remains poorly understood. To better understand and evaluate the riverine MPs in different seasons, this study conducted the risk assessment of MPs in an urban river, Houjin River, during the different seasons. The present study found that the MPs (0.1-5 mm, mostly 0.1-2 mm) were more abundant in the dry season (183.33 ± 128.95 items/m3) compared with the wet season (102.08 ± 45.80 items/m3). Similarly, the mixture of different MPs polymers was more diverse in the dry season. The related pollution indices such as the contamination factor (CF) and pollution load index (PLI) showed that average CF and PLI were 5.15 and 2.10 in the dry season, which significantly decreased to 1.58 and 1.25, respectively, in the wet season (p < 0.05). Additionally, significant difference of the average risk quotient (RQ) was observed, which was 0.037 in the dry season and 0.021 in the wet season (p < 0.05). To sum up, the results of this study indicate the seasonal effects on the pollution and risk of multiple compositions of MPs in the urban river, suggesting higher impacts of riverine MPs pollution in the dry season, as well as the potential increase of MPs, may lead to environmental risk in the future.

Huo, P, Deng, R, Chen, X, Yang, L, Liu, Y, Wu, L, Wei, W & Ni, B-J 2023, 'Model-based evaluation of N2O recovery as an energy source in sulfur-driven NO-based autotrophic denitrification', Chemical Engineering Journal, vol. 453, pp. 139732-139732.
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Ikram, MM, Saha, G & Saha, SC 2023, 'Unsteady conjugate heat transfer characteristics in hexagonal cavity equipped with a multi-blade dynamic modulator', International Journal of Heat and Mass Transfer, vol. 200, pp. 123527-123527.
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Indraratna, B, Armaghani, DJ, Gomes Correia, A, Hunt, H & Ngo, T 2023, 'Prediction of resilient modulus of ballast under cyclic loading using machine learning techniques', Transportation Geotechnics, vol. 38, pp. 100895-100895.
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Jena, R, Pradhan, B, Almazroui, M, Assiri, M & Park, H-J 2023, 'Earthquake-induced liquefaction hazard mapping at national-scale in Australia using deep learning techniques', Geoscience Frontiers, vol. 14, no. 1, pp. 101460-101460.
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Karbassiyazdi, E, Kasula, M, Modak, S, Pala, J, Kalantari, M, Altaee, A, Esfahani, MR & Razmjou, A 2023, 'A juxtaposed review on adsorptive removal of PFAS by metal-organic frameworks (MOFs) with carbon-based materials, ion exchange resins, and polymer adsorbents', Chemosphere, vol. 311, pp. 136933-136933.
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Khan, AUH, Naidu, R, Dharmarajan, R, Fang, C, Shon, H, Dong, Z & Liu, Y 2023, 'The interaction mechanisms of co-existing polybrominated diphenyl ethers and engineered nanoparticles in environmental waters: A critical review', Journal of Environmental Sciences, vol. 124, pp. 227-252.
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Li, W, Li, X, Han, C, Gao, L, Wu, H & Li, M 2023, 'A new view into three-dimensional excitation-emission matrix fluorescence spectroscopy for dissolved organic matter', Science of The Total Environment, vol. 855, pp. 158963-158963.
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Liu, H, Yan, X, Jiu, J, Li, JJ, Zhang, Y, Wang, G, Li, D, Yan, L, Du, Y, Zhao, B & Wang, B 2023, 'Self-assembly of gelatin microcarrier-based MSC microtissues for spinal cord injury repair', Chemical Engineering Journal, vol. 451, pp. 138806-138806.
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Liu, K, Liu, J, Li, J, Tao, M & Wu, C 2023, 'Experimental investigation of heating–cooling effects on the mechanical properties of geopolymer-based high performance concrete heated to elevated temperatures', Structures, vol. 47, pp. 735-747.
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Liu, X, Tian, K, Chen, Z, Wei, W, Xu, B & Ni, B-J 2023, 'Online TG-FTIR-MS analysis of the catalytic pyrolysis of polyethylene and polyvinyl chloride microplastics', Journal of Hazardous Materials, vol. 441, pp. 129881-129881.
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Luo, T, Dai, X, Chen, Z, Wu, L, Wei, W, Xu, Q & Ni, B-J 2023, 'Different microplastics distinctively enriched the antibiotic resistance genes in anaerobic sludge digestion through shifting specific hosts and promoting horizontal gene flow', Water Research, vol. 228, pp. 119356-119356.
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Mofijur, M, Ahmed, SF, Rony, ZI, Khoo, KS, Chowdhury, AA, Kalam, MA, Le, VG, Badruddin, IA & Khan, TMY 2023, 'Screening of non-edible (second-generation) feedstocks for the production of sustainable aviation fuel', Fuel, vol. 331, pp. 125879-125879.
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Quyet Truong, D, Choo, Y, Akther, N, Roobavannan, S, Norouzi, A, Gupta, V, Blumenstein, M, Vinh Nguyen, T & Naidu, G 2023, 'Selective rubidium recovery from seawater with metal-organic framework incorporated potassium cobalt hexacyanoferrate nanomaterial', Chemical Engineering Journal, vol. 454, pp. 140107-140107.
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Sadeghi, F, Mousavi, M, Zhu, X, Rashidi, M, Samali, B & Gandomi, AH 2023, 'Damage Detection of Composite Beams via Variational Mode Decomposition of Shear-Slip Data', Journal of Structural Engineering, vol. 149, no. 1.
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Stewart, MG 2023, 'Climate Adaptation Engineering: An Optimist’s View', ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering, vol. 9, no. 1.
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T., Y & D., C 2023, 'A Typology of Competitive Strategies for Social Enterprises', Journal of Social Entrepreneurship, pp. 1-27.
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This article tackles the limited theorising on social enterprises’ (SEs) decisions on the product or service mix, quality, pricing, and the targeted beneficiaries by proposing a typology of competitive strategies for them. The paper empirically observes how SEs react to the challenges faced by the marketisation of their fields. The context of this study is the supplementary education of the disabled in Turkey, a field where increased state coverage led to the entrance of many profit-focused counterparts. Based on a Grounded Theory methodology and a longitudinal dataset including ten cases, the study developed a unique typology comprising three competitive strategies, i.e., innovator, enforcer, and includer. The findings illustrate various strategic responses to heightened competition from incumbent SEs. However, deviation of these strategic responses from the typology appeared to be detrimental in the long-term. By shedding light on the intricacies of the hybrid nature of SEs and considering changes in their competitive environment over time, this study concludes with a summary of contributions to theory, practice, and policy.

Tang, R, Yu, Z & Li, J 2023, 'KINN: An alignment-free accurate phylogeny reconstruction method based on inner distance distributions of k-mer pairs in biological sequences', Molecular Phylogenetics and Evolution, vol. 179, pp. 107662-107662.
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Tapas, MJ, Thomas, P, Vessalas, K, Nsiah-Baafi, E, Martin, L & Sirivivatnanon, V 2023, 'Comparative study of the efficacy of fly ash and reactive aggregate powders in mitigating alkali-silica reaction', Journal of Building Engineering, vol. 63, pp. 105571-105571.
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Veza, I, Irianto, Tuan Hoang, A, Yusuf, AA, Herawan, SG, Soudagar, MEM, Samuel, OD, Said, MFM & Silitonga, AS 2023, 'Effects of Acetone-Butanol-Ethanol (ABE) addition on HCCI-DI engine performance, combustion and emission', Fuel, vol. 333, pp. 126377-126377.
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Wang, C, Wei, W, Zhang, Y-T, Chen, X & Ni, B-J 2023, 'Hydrochar alleviated the inhibitory effects of polyvinyl chloride microplastics and nanoplastics on anaerobic granular sludge for wastewater treatment', Chemical Engineering Journal, vol. 452, pp. 139302-139302.
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Wang, M-M, Liu, L-J, Xi, J-R, Ding, Y, Liu, P-X, Mao, L, Ni, B-J, Wang, W-K & Xu, J 2023, 'Lattice doping of Zn boosts oxygen vacancies in Co3O4 Nanocages: Improving persulfate activation via forming Surface-Activated complex', Chemical Engineering Journal, vol. 451, pp. 138605-138605.
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Wang, Q & Ying, M 2023, 'Quantum random access stored-program machines', Journal of Computer and System Sciences, vol. 131, pp. 13-63.
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Random access machines (RAMs) and random access stored-program machines (RASPs) are models of computing that are closer to the architecture of real-world computers than Turing machines (TMs). They are also convenient in complexity analysis of algorithms. The relationships between RAMs, RASPs and TMs are well-studied. However, clear relationships between their quantum counterparts are still missing in the literature. We fill in this gap by formally defining the models of quantum random access machines (QRAMs) and quantum random access stored-program machines (QRASPs) and clarifying the relationships between QRAMs, QRASPs and quantum Turing machines (QTMs). In particular, we show that P⊆EQRAMP⊆EQP⊆BQP=BQRAMP, where EQRAMP and BQRAMP stand for the sets of problems that can be solved by polynomial-time QRAMs with certainty and bounded-error, respectively. At the heart of our proof, is a standardisation of QTM with an extended halting scheme, which is of independent interest.

Wang, X, Chen, W-H, Huang, Y, Wang, L, Zhao, Y & Gao, J 2023, 'Advances in soot particles from gasoline direct injection engines: A focus on physical and chemical characterisation', Chemosphere, vol. 311, pp. 137181-137181.
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Wen, L, Yang, F, Li, X, Liu, S, Lin, Y, Hu, E, Gao, L & Li, M 2023, 'Composition of dissolved organic matter (DOM) in wastewater treatment plants influent affects the efficiency of carbon and nitrogen removal', Science of The Total Environment, vol. 857, pp. 159541-159541.
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Wu, L, Wei, W, Chen, Z, Chen, X & Ni, B-J 2023, 'Long-chain alcohol production in open culture anaerobic fermentation', Chemical Engineering Journal, vol. 452, pp. 139225-139225.
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Wu, S, Li, W & Bai, Q 2023, 'GAC: A deep reinforcement learning model toward user incentivization in unknown social networks', Knowledge-Based Systems, vol. 259, pp. 110060-110060.
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Xu, Z, Khabbaz, H, Fatahi, B & Wu, D 2023, 'Double-layered granular soil modulus extraction for intelligent compaction using extended support vector machine learning considering soil-structure interaction', Engineering Structures, vol. 274, pp. 115180-115180.
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Intelligent Compaction (IC) has been acquiring a growing interest in real-time quality control of compacted soil layers because of its high efficiency and full-area coverage. The current intelligent compaction technology allows the determination of the uniformity level of compaction over large areas according to the dynamic response of the roller. However, accurate real-time determination of the soil modulus during compaction based on roller acceleration has been challenging due to the multi-layered composite nature of the soil and the nonlinearities of the governing dynamic equations of motion and soil response. This study adopts a double-layered soil profile, and a three-dimensional finite element model, accounting for soil-drum interaction, is utilised for the analysis. The isotropic hardening elastoplastic hysteretic model was implemented to simulate the soil behaviour subjected to cyclic loading ranging from small to large strain amplitudes and account for stiffness degradation. The comprehensive dataset composed of the roller acceleration response and ground characteristics is then used to correlate the predicted soil modulus via an advanced machine learning approach. The adopted machine learning method incorporating Gaussian Kernel and Generalised Gegenbauer Kernel functions can reasonably predict the double-layered soil modulus during roller compaction. Additional analyses were conducted to observe the proper training size and number of iterations to achieve real-time quality control to be used by site engineers. Furthermore, the influences of the relative modulus ratio, drum length and top layer modulus on the soil surface dynamic displacement are discussed.

Xue, C, Sirivivatnanon, V, Nezhad, A & Zhao, Q 2023, 'Comparisons of alkali-activated binder concrete (ABC) with OPC concrete - A review', Cement and Concrete Composites, vol. 135, pp. 104851-104851.
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Ye, K & Ji, JC 2023, 'A Novel Morphing Propeller System Inspired by Origami-Based Structure', Journal of Mechanisms and Robotics, vol. 15, no. 1.
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Abstract For a standard propeller system, the thrust output and the energy dissipation are proportionally dependent on its rotating speed, as its physical characteristics and working conditions are normally fixed during its operation. In order to improve the system performance and meet special application requirements, this paper presents the design of a novel two-stage propeller system with a morphing blade structure for higher thrust output and energy efficiency in operations. Based on the stacked Miura-ori (SMO) pattern, an origami-based structure is designed to enable a change in blade length for a propeller system and thus improve the system performance. The unique snap-through feature of the proposed origami structure is utilized to provide a two-stage working condition according to its rotating speed. The geometric parameter analysis of the SMO structure is first investigated, specifically focusing on the operating mechanism due to the snap-through behavior. Then, the implementation of the SMO structure into a rotating system is studied. The effects of design parameters on the critical transition points, which correspond to two operating states of the proposed propeller system, are numerically discussed. The simulation results confirm the performance improvement in the thrust output and energy-saving. The feasibility of using origami-based structures provides valuable insights into more applications in similar domains, such as fan system and wind turbine blades.

Yin, S, Liu, P, Kong, L, Zhang, X, Qi, Y & Huang, J 2023, 'Accumulated plastic strain behavior of granite residual soil under traffic loading', Soil Dynamics and Earthquake Engineering, vol. 164, pp. 107617-107617.
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Yu, H, Liu, W, Lu, J, Wen, Y, Luo, X & Zhang, G 2023, 'Detecting group concept drift from multiple data streams', Pattern Recognition, vol. 134, pp. 109113-109113.
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Yuan, P, Xiang, H, Xu, S, Liu, J, Su, Y, Qu, K & Wu, C 2023, 'Experimental and numerical study of steel wire mesh reinforced G-HPC slab protected by UHMWPE FRC under multiple blast loadings', Engineering Structures, vol. 275, pp. 115224-115224.
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Zhang, L-C, Chen, L-Y, Zhou, S & Luo, Z 2023, 'Powder bed fusion manufacturing of beta-type titanium alloys for biomedical implant applications: A review', Journal of Alloys and Compounds, vol. 936, pp. 168099-168099.
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Zhang, X, Peng, H, Zhang, J & Wang, Y 2023, 'A cost-sensitive attention temporal convolutional network based on adaptive top-k differential evolution for imbalanced time-series classification', Expert Systems with Applications, vol. 213, pp. 119073-119073.
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Zhou, T, Zhang, Z, Liu, H, Dong, S, Nghiem, LD, Gao, L, Chaves, AV, Zamyadi, A, Li, X & Wang, Q 2023, 'A review on microalgae-mediated biotechnology for removing pharmaceutical contaminants in aqueous environments: Occurrence, fate, and removal mechanism', Journal of Hazardous Materials, vol. 443, pp. 130213-130213.
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Zuo, W, Luo, Q, Li, Q & Sun, G 2023, 'Effect of thermal and hydrothermal aging on the crashworthiness of carbon fiber reinforced plastic composite tubes', Composite Structures, vol. 303, pp. 116136-116136.
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