A review of lightweight convolutional neural networks for ultrasound signal classification by Bokun Zhang, Zhengping Li, Yuwen Hao, Lijun Wang, Xiaoxue Li, Yuan Yao

“…Combined with the characteristics of ultrasound signals, this paper provides a detailed review of lightweight algorithms from two perspectives: model compression and operational optimization. …”
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State of Charge Prediction of Mine-Used LiFePO₄ Battery Based on PSO-Catboost by Dazhong Wang, Yinghui Chang, Pengfei Ji, Yanchun Suo, Ning Chen

“…Firstly, the classification model based on Catboost is constructed, and then the particle swarm algorithm is used to optimize the Catboost hyperparameters to build the optimal model. …”
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Advancing named entity recognition in interprofessional collaboration and education by Rui Zhang, Yifeng Shan, MengZhe Zhen

“…Existing approaches lack adaptability to evolving terminologies and insufficiently address the complex interaction dynamics inherent in multi-disciplinary frameworks.MethodsTo address these limitations, we propose a Synergistic Collaboration Framework (SCF) integrated with an Adaptive Synergy Optimization Strategy (ASOS). SCF models IPC as a dynamic multi-agent system, where disciplines are represented as intelligent agents interacting within a weighted graph structure. …”
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Access point selection mechanism based on cross-layer awareness for cognitive networks by Hui-qiang WANG, Xiao-ming CHEN, Hong-wu LV, Guang-sheng FENG, Qiang ZHU

“…Accessing to the optimal network was an effective way of ensuring the efficiency of network resources utilization and improving network performance.An access point selection mechanism based on cross-layer awareness for cognitive networks(CN_CLA)was proposed.Firstly,a cross-layer cognitive framework was constructed for obtaining the primary evaluation parameters that influence the performance of network access.Secondly,the fuzzy theory was applied for evaluating the access network performance comprehensively,and the weights in each layer were optimized using the quantum genetic algorithm,and then the access point was selected intelligently.Simulation results show that the proposed method chooses reasonable access networks without intervention of users.Furthermore,it is superior to the traditional methods,including the link capacity scheme,H_RSSI_S and AS_FTM,in terms of throughput,delay,session completion rate,packet loss and other performance indicators.…”
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Advancing smart aquaculture: Cost-efficient strategies for climbing perch cultivation using AI-based models by Kosit Sriputhorn, Achara Jutagate, Surasak Matitopanum, Rungwasun Kraiklang, Rapeepan Pitakaso, Chakat Chueadee, Sarayut Gonwirat

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Enhanced framework for credit card fraud detection using robust feature selection and a stacking ensemble model approach by Rahul Kumar Gupta, Asmaul Hassan, Samir Kumar Majhi, Nikhat Parveen, Abu Taha Zamani, Raju Anitha, Binayak Ojha, Abhinav Kumar Singh, Debendra Muduli

“…The particle swarm optimization (PSO) algorithm is employed to optimize ELM parameters, enhancing generalization and model convergence. …”
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A machine learning approach to assess the climate change impacts on single and dual-axis tracking photovoltaic systems by Udit Mamodiya, Indra Kishor, Priyam Ganguly, Isha Mukherjee, Nithesh Naik

“…Increasing computational efficiency, integrating energy storage mechanisms, and optimizing self-learning algorithms will be areas of focus for future research to make it more applicable.…”
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GRU-LSTM model based on the SSA for short-term traffic flow prediction by Changxi Ma, Xiaoyu Huang, Yongpeng Zhao, Tao Wang, Bo Du

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Multi-Agent Meta Reinforcement Learning for Reliable and Low-Latency Distributed Inference in Resource-Constrained UAV Swarms by Marwan Dhuheir, Aiman Erbad, Bechir Hamdaoui, Samir Brahim Belhaouari, Mohsen Guizani, Thang X. Vu

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TANS: A Tolerance-Aware Neighborhood Search Method for Workflow Scheduling with Uncertainties in Cloud Manufacturing by Haiyan Xu, Fanhao Ma, Long Chen

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Combined mechanistic and machine learning method for construction of oil reservoir permeability map consistent with well test measurements by Evgenii Kanin, Alsu Garipova, Sergei Boronin, Vladimir Vanovskiy, Albert Vainshtein, Andrey Afanasyev, Andrei Osiptsov, Evgeny Burnaev

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Application of digital twin for industrial process control: A case study of gauge-looper-tension optimized control in strip hot rolling [version 2; peer review: 2 approved] by Shang Chen, Jie Sun, Wen Peng, Cheng-yan Ding, Dian-hua Zhang

“…Additionally, for controllers with poor Hurst index values, the crayfish optimization algorithm is employed for adjusting controller parameters to maximize the Hurst index. …”
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Design of multi-bandgap metamaterial plate based on composite cylindrical resonators by Zhi Miao, Jianfei Yin, Yu Yang, Yibo Ke, Zhoufu Zheng, Xiaoming Geng, Qian Wang

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Advanced Deep Learning Approaches in Detection Technologies for Comprehensive Breast Cancer Assessment Based on WSIs: A Systematic Literature Review by Qiaoyi Xu, Afzan Adam, Azizi Abdullah, Nurkhairul Bariyah

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Applications and advances of multi-omics technologies in gastrointestinal tumors by Yuqing Liu, Feng Gao, Yang Cheng, Liang Qi, Haining Yu

“…In the future, the integration of single-cell multi-omics, artificial intelligence, and deep learning technologies with multi-omics may offer more efficient strategies for the precise diagnosis and personalized treatment of gastrointestinal tumors.…”
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Embedding Moving Baseline RTK for High-Precision Spatiotemporal Synchronization in Virtual Coupling Applications by Susu Huang, Baigen Cai, Debiao Lu, Yang Zhao, Miao Zhang, Linyu Shang

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Trajectory Tracking in Autonomous Driving Based on Improved hp Adaptive Pseudospectral Method by Yingjie Liu, Qianqian Wang

“…At the same time, the tracking error of the lateral distance under the condition of <i>u</i> = 30 km/h is smaller than that of <i>u</i> = 90 km/h. The optimal path tracking control using the improved hp adaptive pseudospectral method has higher accuracy and better control effect compared to traditional control algorithms. …”
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Investment Decision Model of Rural Power Grid Projects Considering Contribution of Rural Revitalization by Huiru ZHAO, Manyu YAO, Bingkang LI, Guanglong XIE, Zhihua DING, Zhenda HU

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The optimum sizing of zero-emission water-cooled VCR cycle based on exergo-economic-environmental assessment criteria by triple-objective MPSO by Seyedeh Mohadeseh Miri, Mahmood Farzaneh-Gord, Alireza Hosseinpour, Mohit Bajaj, Ievgen Zaitsev

“…By the help of databank of parametric analysis, the optimum design variables are determined by employing the GA optimization algorithm. In the following, an intelligence neural network is developed to learn the reliable correlation between the inputs and outputs data. …”
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DTIP-WINDGRU a novel drug-target interaction prediction with wind-enhanced gated recurrent unit by Kavipriya Gananathan, D. Manjula, Vijayan Sugumaran

“…Finally, the Wind Driven Optimization (WDO) algorithm is utilized to optimally choose the hyperparameters involved in the GRU model. …”
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