Interference Mitigation in mmWave Heterogeneous Cloud-Radio Access Network: For Better Performance and User Connectivity by Najwan M. Swadi, Firas A. Sabir, Hamed S. Al-Raweshidy

“…This paper concludes that optimized cell site deployment combined with association and clustering algorithms can significantly enhance 5G network performance, particularly in dense urban environments. …”
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Digital Twin-Supported Battery State Estimation Based on TCN-LSTM Neural Networks and Transfer Learning by Kai Zhao, Ying Liu, Yue Zhou, Wenlong Ming, Jianzhong Wu

“…The emergence of digital twin (DT) technology offers a novel opportunity for performance monitoring and management of lithium-ion batteries, enhancing collaborative capacity among different battery state estimation techniques and enabling optimal operation of battery storage units. In this study, we propose a DT-supported battery state estimation method, in collaboration with the temporal convolutional network (TCN) and the long short-term memory (LSTM), to address the challenge of feature extraction. …”
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Autonomous Drone-Based Pollination Systems for Enhancing Crop Yield in Orchards Using IoT and Machine Learning Optimization by Khan Roohee, Lalnunthari Banti

“…It is time to explain their implementation because turning these technologies into reality resulted in very significant improvements in: SNR increased to an average of 25.4 dB, PLR was reduced to 1.6%, Data Throughput was optimized to 450 kbps, and Battery Depletion Rate was lowered to 3.2% per minute. …”
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A compressed image encryption algorithm leveraging optimized 3D chaotic maps for secure image communication by Akshat Tiwari, Prachi Diwan, Tarun Dhar Diwan, Mahdal Miroslav, S. P. Samal

“…Abstract In today’s digital age, sensitive multimedia informations are transmitted over public networks that are vulnerable to unauthorized access and data tampering. …”
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supDQN: Supervised Rewarding Strategy Driven Deep Q-Network for sEMG Signal Decontamination by Ashutosh Jena, Naveen Gehlot, Rajesh Kumar, Ankit Vijayvargiya, Mahipal Bukya

“…The identification accuracy is enhanced by using a local interpretable model-agnostic explanation. The deep Q-network is guided by this reward to select the filter optimally while decontaminating a signal. …”
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Optimized Placement of Distributed Fiber Optic Sensors for Accurate Strain Monitoring of Buried Pipelines in Landslide-Prone Areas by Alarifi Hamzh, Hisham Mohamad, Phromphat Thansirichaisree

“…Results indicate that placing DFOS cables at a distance of 1.5D to 2D from the pipe (where D is the pipe diameter) provides optimal strain detection. Experimental and numerical results showed strong agreement, with an average strain deviation of less than 11%. …”
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Optimization and Simulation of Flat Area Sites Based on Probability Matching and Transfer Intensity Using Remote Sensing Precipitation by Chen Yu, Huaiyong Shao, Xingchuan Yang, Gang Liu, Qi Xin, Jiaming Gu

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YOLOv8-GABNet: An Enhanced Lightweight Network for the High-Precision Recognition of Citrus Diseases and Nutrient Deficiencies by Qiufang Dai, Yungao Xiao, Shilei Lv, Shuran Song, Xiuyun Xue, Shiyao Liang, Ying Huang, Zhen Li

“…Additionally, a weighted Bidirectional Feature Pyramid Network (BiFPN) supersedes the original feature fusion network, enhancing the model’s ability to manage complex backgrounds and achieve multiscale feature extraction and integration. …”
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A Distributed Economic Power Dispatch Strategy Considering State of Charge for Microgrids by Kaicheng Lu, Shufeng Dong, Yonghua Song

“…To improve the effectiveness of power distribution, an improved average consensus algorithm(IACA) based on particle swarm optimization (PSO) is proposed to adjust the weight matrix of communication networks, which reduces the number of iterations to estimate the average SoC. …”
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A Networked Game Theoretic Model for Evaluating Resilience in Megaprojects: Integrating Stakeholder Interactions and Lifecycle Adaptability by Hongsi Zhang, Shukai Jiang, Xingwu Lin, Xiang Yu, Wenjiang Zheng

“…Specifically, this framework advances theory by merging network analysis with game theory to capture dynamic stakeholder influences, while offering practitioners a real-time mechanism to manage and optimize stakeholder interactions for improved resilience across the entire megaproject lifecycle. …”
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Forecasting the Thermal Degradation Depending on the Kinetics of Dracaena Draco Lignocellulosic Fibers Using an Artificial Neural Network by Abdelwaheb Hadou, Ahmed Belaadi, Djamel Ghernaout, Herbert Mukalazi

“…In order to forecast the thermal degradation of Dracaena draco plant fibers (DDFs) using thermogravimetric analysis (TGA) at heating rates ranging from 5 to 30°C/min, this study employed artificial neural networks (ANNs). Hemicellulose, cellulose, and lignin breakdown were represented by the three different degradation stages that were seen. …”
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FedWT: Federated Learning with Minimum Spanning Tree-based Weighted Tree Aggregation for UAV networks by Geonhui Kim, Jiha Kim, Yongho Kim, Hwan Kim, Hyunhee Park

“…However, applying federated learning in UAV environments is challenging due to network instability and dependency on central server. …”
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Multiclass skin lesion classification and localziation from dermoscopic images using a novel network-level fused deep architecture and explainable artificial intelligence by Mehak Arshad, Muhammad Attique Khan, Nouf Abdullah Almujally, Areej Alasiry, Mehrez Marzougui, Yunyoung Nam

“…The models were trained using Bayesian optimization for hyperparameter tuning. Feature extraction was performed with a global average pooling layer, and shallow neural networks were used for final classification. …”
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RIM-Net: A Real-Imaginary-Magnitude Network for NLOS/LOS Identification in UWB Indoor Positioning Systems by Jiacheng Ni, Fang Li, Shuai Cao, Linsong Li

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A Coupled Least Absolute Shrinkage and Selection Operator–Backpropagation Model for Estimating Evapotranspiration in Xizang Plateau Irrigation Districts with Reduced Meteorological... by Qiang Meng, Jingxia Liu, Fengrui Li, Peng Chen, Junzeng Xu, Yawei Li, Tangzhe Nie, Yu Han

“…Short-term ET_O predictions for the three districts were also conducted using the mean-generating function optimal subset regression algorithm. The results revealed significant multicollinearity among six meteorological factors (maximum temperature, minimum temperature, average temperature, average relative humidity, sunshine duration, and average wind speed), as identified through tolerance, variance inflation factor (<i>VIF</i>), and eigenvalue analysis. …”
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Coordinated Operation of the Constituent Components of a Community Energy System to Maximize Benefits While considering the Network Constraints by A. H. Wijethunge, J. V. Wijayakulasooriya, J. B. Ekanayake, A. Polpitiya

“…The algorithm managed to run the optimization with 12,500 controllable entities within an average execution time of 2000s.…”
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Integrated and improved YOLOv8 and triangulated network method for extracting indicators in open-pit mine mining areas by LI Tianwen, LI Gongquan, LI Juntao

“…To address these issues, an improved method for extracting mining field indicators by integrating YOLOv8 with a triangulated network was proposed. Based on YOLOv8, the following improvements were made to obtain Mine-YOLO: the addition of an Efficient Multi-Scale Attention (EMA) module to enhance the model's recognition and segmentation accuracy of mining field boundaries; the inclusion of a Global Attention Mechanism (GAM) module to retain open-pit mining field feature data at a global scale, improving target recognition accuracy; and the optimization of the Focaler-IoU loss function to enhance the model's ability to distinguish positive samples. …”
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A Matheuristic Iterative Approach for Profit-Oriented Line Planning Applied to the Chinese High-Speed Railway Network by Di Liu, Javier Durán Micco, Gongyuan Lu, Qiyuan Peng, Jia Ning, Pieter Vansteenwegen

“…When comparing to an alternative iterative approach, our proposed method has advantage of obtaining high quality of solutions by improving the profit 10.8% on average. For small, medium, and large size networks, the obtained results are close to the optimal solutions, when available.…”
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Evolution characteristics and pattern optimization of land use conflict in inland river Basin from the perspective of production-living-ecological. by Wanzhuang Huang, Ziyang Wang, Yue Liu, Jing Shi

“…The impact of road network density and river network density on the evolution of production-living-ecological land conflicts in the Shiyang River Basin was the most significant. …”
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Technical efficiency analysis using data envelopment analysis (DEA) and Tobit regression on convenience store networks in Indonesia by Fahmy Radhi, Henry Yuliando, Alifa Fadhila, Ihda Arifin Faiz, Faiz Zamzami

“…Efficiency can be improved through the optimization of operational hours and the management of service diversification. …”
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