Thermal Performance Study of Solar Air Dryers for Cashew Kernel: A Comparative Analysis and Modelling Using Response Surface Methodology (RSM) and Artificial Neural Network (ANN) by Vivekanand B. Huddar, Abdul Razak, Erdem Cuce, Sudarshana Gadwal, Mamdooh Alwetaishi, Asif Afzal, C. Ahamed Saleel, Saboor Shaik

“…This new method has resulted in batch drying of cashew kernels of up to 30 kg capacity in a time span of 360 minutes of solar irradiation with an average consumption of 255 kJ. The results of the experiments are also validated from the artificial neural network (ANN) and response surface methodology (RSM) modelling, resulting in better prediction and optimization of the performance parameters. …”
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DFN-YOLO: Detecting Narrowband Signals in Broadband Spectrum by Kun Jiang, Kexiao Peng, Yuan Feng, Xia Guo, Zuping Tang

“…To this end, this study presents a signal detection model named deformable feature-enhanced network–You Only Look Once (DFN-YOLO), specifically designed for blind signal detection in broadband scenarios. …”
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Normalized square difference based multilevel thresholding technique for multispectral images using leader slime mould algorithm by Manoj Kumar Naik, Rutuparna Panda, Ajith Abraham

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Power selection of a static symmetrical device under dynamically changing load conditions by A. V. Petrov, V. E. Martusenko, R. A. Magayayev, V. E. Martusenko

“…According to the results of the conducted research it is possible to draw a conclusion that regardless of the shape of the schedule of the symmetrized load the optimal power of the static symmetrical device corresponds to the average integral value of the variable power of the load.…”
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Hierarchical clustering methods in a task to find abnormal observations based on groups with broken symmetry by A. N. Kislyakov, S. V. Polyakov

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SEANet: Semantic Enhancement and Amplification for Underwater Object Detection in Complex Visual Scenarios by Ke Yang, Xiao Wang, Wei Wang, Xin Yuan, Xin Xu

“…These components collectively enhance the network’s ability to effectively identify critical underwater features. …”
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Optimal Design of Integrating Two‐Level Artificial Intelligent With Three Degrees of Freedom‐PDF (TLNF‐3DOFPDF) Controller for AGC of Three‐Area Multi‐Sources Power System... by Getaneh Mesfin Meseret, Rajesh Kumhar, Tarkesh Kumar Mahato, Nishant Kumar, Poonam Lakra, M. D. Mofeed Alam

“…Sensitivity analyses further confirm the robustness of the TLNF‐3DOFPDF controller, tuned via SOA, under varying load conditions. On average, the optimized controller reduces oscillation amplitudes by 65% relative to traditional methods, highlighting its effectiveness in modern AGC applications.…”
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Strategic deployment of roadside units for effective vehicle-to-infrastructure communication to limit road accidents by Paule Kevin Nembou Kouonchie, Willy Stephen Tounsi Fokui, Danube Kirt Ngongang Wandji

“…The simulation results demonstrate the effectiveness of the hybridization of GA and PSO for the optimal deployment of RSUs with significant communication results concerning connectivity, packet delivery ratio, and average downlink end-to-end delay. …”
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Unpacking Performance Variability in Deep Reinforcement Learning: The Role of Observation Space Divergence by Sooyoung Jang, Ahyun Lee

“…Furthermore, we cross-evaluated the learned actor and value networks, measuring the average absolute TD-error, the RMSE of value estimates, and the KL divergence between policies to assess their functional similarity. …”
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YOLOX-LS: Strong Gravitational Lenses Detection in the DECaLS with Deep Learning by Yangyang Liu, Liangping Tu, Jianxi Li, Jiawei Miao, Gengqi Lin, Chenying Zhao

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Heuristic based federated learning with adaptive hyperparameter tuning for households energy prediction by Liana Toderean, Mihai Daian, Tudor Cioara, Ionut Anghel, Vasilis Michalakopoulos, Efstathios Sarantinopoulos, Elissaios Sarmas

“…The federated model aggregation is optimized using hierarchical simulated annealing optimization to prioritize updates from the better-performing models. …”
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Coverage path planning considering the cell number and starting position by MA Mingyan, HUANG Sirong, DENG Renhui, WU Lei, HE Li

“…The research results show that: 1) when processing maps with dimensions of 1 300 pixels, the algorithm in this paper can obtain calculation results within 10 s, and compared with the boustrophedon method, neural network method, and contour line method, the growth rate of calculation time is smaller with the increase of map area; 2) compared with the boustrophedon method, contour line method, neural network method, and energy-optimal method, the total operation time of robots in this paper is reduced by 5.4% to 47.0%, and the ineffective operation time is reduced by 5.8% to 29.2%; 3) the average coverage rate of this algorithm on 1 800 test maps reaches 99.91%; 4) the tests further confirm the significant coverage efficiency advantages of the algorithm proposed in this paper.…”
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Retail technology use in sustainability practices: A mixed-methods analysis of implementation approaches and future directions by Noptanit Chotisarn, Thadathibesra Phuthong

“…Technology integration demonstrated average efficiency improvements of 15–20 % in supply chain operations, with peak gains of 30 % in optimization and 25 % in waste reduction. …”
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Performance Enhancement of Dual-Input Frequency-Periodic Load Modulated Power Amplifier at 1–5.7-GHz Bandwidth With Co-Designed Biasing Network by Takuma Torii, Yuji Komatsuzaki, Shintaro Shinjo, Ryo Ishikawa

“…This study proposes a novel dual input power amplifier (PA) with a frequency-periodic load modulated output matching network supported by a broadband biasing network. …”
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A Novel Mixed-Precision Quantization Approach for CNNs by Dan Wu, Yanzhi Wang, Yuqi Fei, Guowang Gao

“…It then establishes the optimization objective of the mixed-bit-width search network, and combines the cosine distance of the outputs of the two neighboring layers in the search process in order to construct a micro-minimizable combination of mixed-bit-widths for the super-net search. …”
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Research on the application of magnetic separation technology for the removal of black powder in natural gas pipelines by Hongwei YANG, Tianyu ZHANG, Fang LIU, Zhen LIU, Junxian CHEN, Wengang YANG

“…Furthermore, the results were utilized to optimize layout parameters for the magnetic system matrices. …”
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Energy Theft Identification: A State Estimation Model for Partial Meter Bypass by Hwee Ling Wong, Chia Kwang Tan, Wooi-Nee Tan, Ming-Tao Gan, Sook-Chin Yip, Ab Halim Abu Bakar

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An edge server placement based on graph clustering in mobile edge computing by Shanshan Zhang, Jiong Yu, Mingjian Hu

“…It trains the GCN network to achieve the best clustering results with the expectation of average delay and load balancing as the loss function to obtain the edge server placement and user assignment scheme. …”
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IASB Framework: Construction of Data Asset Accounting System Based on PO-BP Model by Haixia Guo

“…The PO algorithm optimizes the weights and biases of the BP neural network, improving its global search and local development capabilities. …”
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An Improved Short-Term Electricity Load Forecasting Method: The VMD–KPCA–xLSTM–Informer Model by Jiawen You, Huafeng Cai, Dadian Shi, Liwei Guo

“…This paper proposes a hybrid forecasting method (VMD–KPCA–xLSTM–Informer) based on variational-mode decomposition (VMD), kernel principal component analysis (KPCA), extended long short-term memory network (xLSTM), and the Informer model. First, the method decomposes the original power load data and environmental parameter data using VMD to capture their multi-scale characteristics. …”
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