Impact of agricultural industry transformation based on deep learning model evaluation and metaheuristic algorithms under dual carbon strategy by Xuan Zhao, Weiyun Tang, Qiuyan Liu, Hongtao Cao, Fei Chen

“…A hybrid deep learning model—combining Convolutional Neural Networks and Long Short-Term Memory networks—is developed to evaluate the effects of agricultural industry transformation. …”
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Adaptive Autoencoder-Based Intrusion Detection System with Single Threshold for CAN Networks by Donghyeon Kim, Hyungchul Im, Seongsoo Lee

“…The controller area network (CAN) protocol, widely used for in-vehicle communication, lacks built-in security features and is inherently vulnerable to various attacks. …”
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Redundant Node Scheduling Algorithm for Wireless Sensor Networks Based on Topology Structure by Lijuan Shi, jun zheng

“…The computation structure is reconstructed through adaptive adjustment, and the discrimination of redundant nodes is optimized. Meanwhile, the cluster topology is added to wireless sensor networks to control network nodes and complete the information transmission process. …”
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Efficient multi-station air quality prediction in Delhi with wavelet and optimization-based models. by Lakshmi Sankar, Krishnamoorthy Arasu

“…A Bidirectional Long Short-Term Memory (Bi-LSTM) network is utilized to simulate temporal interdependence. …”
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Air Pollution Forecasting Using Artificial and Wavelet Neural Networks with Meteorological Conditions by Qingchun Guo, Zhenfang He, Shanshan Li, Xinzhou Li, Jingjing Meng, Zhanfang Hou, Jiazhen Liu, Yongjin Chen

“…Evaluating twelve algorithms and nineteen network topologies for the ANN and WANN models, we discovered that the optimal input variables for an API forecasting model were the APIs from the 3 preceding days and sixteen selected meteorological factors. …”
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Multi-Objective Parameter Optimization of Rotary Screen Coating Process for Structural Plates in Spacecraft by Yanhui Guo, Yanpeng Chen, Peibo Li, Xinfu Chi, Yize Sun

“…In order to solve the optimization problem, 108 sets of process experiments were designed, and then the experimental data were used to train a Back Propagation Neural Network (BPNN), a Least Squares Support Vector Machine (LSSVM), and Random Forest (RF) to obtain the best prediction model for the process parameters. …”
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Topology-Aware Anchor Node Selection Optimization for Enhanced DV-Hop Localization in IoT by Haixu Niu, Yonghai Li, Shuaixin Hou, Tianfei Chen, Lijun Sun, Mingyang Gu, Muhammad Irsyad Abdullah

“…To improve localization performance in non-uniform topologies, we propose an enhanced DV-Hop algorithm using Grey Wolf Optimization (GWO). First, the impact of non-uniform node distribution on hop count and average hop distance is analyzed. …”
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Edge assisted energy optimization for mobile AR applications for enhanced battery life and performance by Dinesh Sahu, Nidhi, Shiv Prakash, Vivek Kumar Pandey, Tiansheng Yang, Rajkumar Singh Rathore, Lu Wang

“…Our framework uses Reinforcement Learning/Deep Q-Networks for learning the optimal task offloading policies based network status, battery status, and the tasks’ required processing time. …”
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Optimal Honeypot Allocation Using Core Attack Graph in Partially Observable Stochastic Games by Achile Leonel Nguemkam, Ahmed Hemida Anwar, Vianney Kengne Tchendji, Deepak K. Tosh, Charles Kamhoua

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A classification model for power corridors based on the improved PointNet++ network by Li Bo, Liu Siyuan, Wang Xiangfeng, Zou Cunyu

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Enhancing and Optimizing User-Machine Closed-Loop Co-Adaptation in Dynamic Myoelectric Interface by Wei Li, Ping Shi, Sujiao Li, Hongliu Yu

“…We propose a user-machine closed-loop co-adaptation strategy, which consists of a multimodal progressive domain adversarial neural network (MPDANN), an augmented reality (AR) system and a scenario-based dynamic asymmetric training scheme. …”
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Identifying barriers to care for complex airway disease and multidisciplinary solutions to optimize therapy in Canada by A. Cherukupalli, M. Yong, Y. Chan, M. Desrosiers, A. Thamboo

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A Novel Coordinated Edge Caching with Request Filtration in Radio Access Network by Yang Li, Yuemei Xu, Tao Lin, Xiaohui Wang, Song Ci

“…In addition, we drive the optimal cache division in this paper with the aim of reducing the average latency user perceived. …”
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Diagnosis of abnormal sound in loudspeakers by integrated attention mechanism convolutional neural network by ZHOU Jinglei, WANG Xiaoming, LI Limin

“…Secondly, the feature data was input into the 1DCNN-BiLSTM network for initial feature extraction. The attention mechanism was employed to adaptively optimize the network's learning weights for abnormal sound features, enhancing the networks discriminative capability. …”
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Multi-Scale Feature Pyramid Network With Camera Artifact Augmentation for Pedestrian Detection by Ankit Shrivastava, Shanmugam Poonkuntran

“…This paper presents a novel hybrid model termed as multi-scale feature pyramid network with camera artifact augmentation (MSFPN-CAA) that integrates Feature Pyramid Networks (FPN) with a fine-tuned YOLOv10 model for enhanced pedestrian detection. …”
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Pedestrian Trajectory Prediction Based on Transformer and Multi-relation Graph Convolutional Networks by LIU Guihong, ZHOU Zongrun, MENG Xiangfu

“…To address this, a pedestrian trajectory prediction model combining Transformer and multi-relation graph convolutional network (GCN) is proposed. The model is composed of interaction capture module, anchor control module, and trajectory refinement module. …”
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Enhancing cooperation in dynamic networks through reinforcement-learning-based rewiring strategies by Hsuan-Wei Lee, Szu-Ping Chen, Feng Shi

“…Our results demonstrate that incorporating network rewiring guided by reinforcement learning significantly enhances both the level of cooperation and the average payoff across the population. …”
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An Effective Network Intrusion Detection System Using Recursive Feature Elimination Technique by Narendra Singh Yadav, Vijay Prakash Sharma, D. Sikha Datta Reddy, Saswati Mishra

“…These systems are proposed to identify and classify cyber-attacks on the network. However, an exhaustive assessment and performance evolution of various machine learning algorithms remains unavailable. …”
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An Optimized Cascaded CNN Approach for Feature Extraction From Brain MRIs for Tumor Classification by Santosh Kumar Chhotray, Debahuti Mishra, Sarada Prasanna Pati, Sashikala Mishra

“…The evaluation of various Custom-CNN models incorporating attention mechanisms and optimization techniques revealed that the Custom-CNN-CBAM-BEO model achieved the best average rank of 5.68 in the Friedman test, with the Bonferroni-Dunn test confirming its superiority.…”
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An adaptive hexagonal deployment model for resilient wireless sensor networks in precision agriculture by Zhang Yinjun

“…Abstract This study presents an innovative hexagonal deployment model designed specifically for wireless sensor networks (WSNs) with a primary application in precision agriculture. …”
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