Economic Optimization of Combination of Wind, Solar, and Battery Storage for Grid-Independent Power Supply using Cuckoo Optimization Algorithm by Waleed Khalid Al-Azzawi, Ahmed Majed Althahabi, Kadhum Al-Majdi, Jenan Ali Hammoode, Ali Hussein Adhab, Alaa M. Lafta, Julayeva Zhazira, Ðbdukarimov Sadratdin

“…To address this challenge, researchers have developed a combined system that incorporates wind and solar resources with a battery as a storage device, which can provide a sample load pattern independent of the grid. …”
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Advanced music classification using a combination of capsule neural network by upgraded ideal gas molecular movement algorithm by Peiyan Chen, Jichi Zhang, Arsam Mashhadi

“…To address this issue, this research proposes a novel methodology that combines CapsNet with an upgraded version of the Ideal Gas Molecular Movement (UIGMM) optimization algorithm. …”
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Improving Segmentation of MRI Images of Brain Glial Cells Using Fuzzy C-Means Algorithm and Combination of PET Images by Wei Wang, Wu Beibei

“…The proposed method demonstrates improved performance compared to traditional segmentation techniques, providing a robust tool for clinicians to make more informed decisions in diagnosing and planning treatments for gliomas. This research highlights the potential of combining multimodal imaging data with advanced computational algorithms to streamline medical imaging workflows. …”
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Classification of Anxiety Levels of IGD Patients at RSU Royal Prima Medan Using Support Vector Machine (SVM) Algorithm by Kharisma Gunanta Ginting, Nugroho Prasetyo, Al Vino Gunawan, Magdalena Sihombing, Adli Abdillah Nababan

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Increasing integration of wind energy through the joint operation of electric vehicles and the grid using the intelligent spider monkey algorithm by Han Xiaoming, Qian Jingjing

“…Unlike existing studies, this framework incorporates detailed modeling of EV aggregation, accounting for diverse user travel patterns, time-varying energy storage capacities, and the complexities of charging and discharging behaviors. …”
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Assessing the Freeze–Thaw Dynamics With the Diurnal Amplitude Variations Algorithm Utilizing NEON Soil Temperature Profiles by Shaoning Lv, Tianjie Zhao, Yin Hu, Jun Wen

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Large Language Model Approach for Zero-Shot Information Extraction and Clustering of Japanese Radiology Reports: Algorithm Development and Validation by Yosuke Yamagishi, Yuta Nakamura, Shouhei Hanaoka, Osamu Abe

“…Previously used in the NTCIR-16 (NII Testbeds and Community for Information Access Research) shared task for clustering performance competition, this dataset was ideal for comparing the clustering ability of our algorithm with those of previous methods. …”
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Analysis of the Urban Development Technologies of Ukek using Neural Networks (preliminary research results) by Singatulin Rustam A.

“…Complex patterns and associations between archaeological, historical, and geological data from different years were identified. …”
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Research on the Forward Simulation and Intelligent Detection of Defects in Highways Using Ground-Penetrating Radar by Pengxiang Li, Mingzhou Bai, Xin Li, Chenyang Liu

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A survey on fish classification techniques by Mutasem K. Alsmadi, Ibrahim Almarashdeh

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State-of-the-Art Fault Detection and Diagnosis in Power Transformers: A Review of Machine Learning and Hybrid Methods by Lebo Dina Mashifane, Bongumsa Mendu, Bessie Baakanyang Monchusi

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Research on Gamma Image Reconstruction Method Based on Multi-distance System Matrix Superposition by WU Yuan1, 2, , XU Feng1, 2, , ZHOU Yicong1, 2, XIAO Yufeng1, 2, ZHENG Yulai3

“…As radioactive sources are increasingly used in scientific research, industry and other fields, radioactive sources are often lost due to improper management and control. …”
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Genetic Algorithm for Optimizing Urban District and Block Morphology to Minimize Solar Radiation Access and Maximize Building Floor Area in the UAE by Hanan M. Taleb, Mays Kayed, Fuad Baba

“…The proposed methodology is developed to achieve these objective functions using a single-objective Genetic Algorithm (GA) with three street layout patterns: random, radial, and grid layout. …”
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A clinically feasible algorithm for the parallel detection of glioma‐associated copy number variation markers based on shallow whole genome sequencing by Shuai Wu, Chenyu Ma, Jiawei Cai, Chenkang Yang, Xiaojia Liu, Chen Luo, Jingyi Yang, Zhang Xiong, Dandan Cao, Hong Chen

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Identifying common disease trajectories of Alzheimer’s disease with electronic health recordsResearch in context by Mingzhou Fu, Sriram Sankararaman, Bogdan Pasaniuc, Keith Vossel, Timothy S. Chang

“…Our validation in the All of Us cohort confirmed the reproducibility of these trajectory patterns in a more diverse population. Interpretation: Our findings demonstrate the value of examining sequential diagnostic patterns in AD pathogenesis. …”
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Research on Fault Diagnosis Method of Reciprocating Compressor Based on RSSD and Optimized Parameter RCMDE by Fengxia Lyu, Xueping Ding, Qianqian Li, Suzhen Chen, Siyi Zhang, Xinyue Huang, Wenqing Huang

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Hierarchical Vehicle Scheduling Research on Tide Bicycle-Sharing Traffic of Autonomous Transportation Systems by Mai Hao, Ming Cai, Minghui Fang, Shuxin Jin

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Research on Anti-Interference Performance of Spiking Neural Network Under Network Connection Damage by Yongqiang Zhang, Haijie Pang, Jinlong Ma, Guilei Ma, Xiaoming Zhang, Menghua Man

“…The anti-interference ability to spike neural networks has become an important direction of electromagnetic protection bionics research. Methods: Therefore, this research constructs two types of spiking neural network models with LIF model as nodes: VGG-SNN and FCNN-SNN, and combines pruning algorithm to simulate network connection damage during the training process. …”
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BiAF: research on dynamic goat herd detection and tracking based on machine vision by Yun Hou, Mingjuan Han, Wei Fan, Xinyu Jia, Zhuo Gong, Ding Han

“…To optimize grassland resources and implement scientific grazing practices, livestock grazing monitoring has become a pivotal area of research. Traditional methods, such as manual tracking and wearable monitoring, often disrupt the natural movement and feeding behaviors of grazing livestock, posing significant challenges for in-depth studies of grazing patterns. …”
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Load demand forecasting in air conditioning a rotor Hopfield neural network approach optimized by a new optimization algorithm by Mingguang Liu, Weibo Zhao, Ying Zhou, Mahdiyeh Eslami

“…Abstract Load demand forecasting is crucial for optimal energy management and sustaining comfortable indoor environments for air conditioning systems. The current research provides load demand prediction by a new modified rotor Hopfield neural network (RHNN) integrated with a fractional order of seasons optimization algorithm (FO-SOA) to overcome the challenge of predicting load demand. …”
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