Research on Bearing Fault Diagnosis Method Based on MESO-TCN by Ruibin Gao, Jing Zhu, Yifan Wu, Kaiwen Xiao, Yang Shen

“…The method integrates feature filtering, network modeling, and parameter optimization into a unified diagnostic framework. …”
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Hongtang Bridge Expansion Joints InSAR Deformation Monitoring with Advanced Phase Unwrapping and Mixed Total Least Squares in Fuzhou China by Baohang Wang, Wu Zhu, Chaoying Zhao, Bojie Yan, Xiaojie Liu, Guangrong Li, Wenhong Li, Liye Yang

“…This study investigates the deformation characteristics of Hongtang Bridge in Fuzhou, China, using synthetic aperture radar interferometry (InSAR). We optimize the network paths to enhance the phase unwrapping process of InSAR. …”
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Dynamic appliance scheduling and energy management in smart homes using adaptive reinforcement learning techniques by Poonam Saroha, Gopal Singh, Umesh Kumar Lilhore, Sarita Simaiya, Monish Khan, Roobaea Alroobaea, Majed Alsafyani, Hamed Alsufyani

“…These dynamics are difficult for traditional systems to handle, but new developments in reinforcement learning and optimization may be able to help. The paper introduces a novel Demand Response (DR) method that integrates a Self-Adaptive Puma Optimizer Algorithm (SAPOA) with a Multi-Objective Deep Q-Network (MO-DQN), improving smart home energy consumption, cost, and user preferences management. …”
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Optimal distributed generation placement and sizing using modified grey wolf optimization and ETAP for power system performance enhancement and protection adaptation by Nasreddine Bouchikhi, Fethi Boussadia, Riyadh Bouddou, Ayodeji Olalekan Salau, Saad Mekhilef, Chaima Gouder, Sarra Adiche, Abdallah Belabbes

“…The findings indicate that the optimal DG placement in the 33-bus system results in a 69.7% decrease in average power loss, a 69.6% decrease in real power loss, and a 7.3% enhancement in voltage stability. …”
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Model Input-Output Configuration Search With Embedded Feature Selection for Sensor Time-Series and Image Classification by Anh Tuan Hoang, Zsolt Janos Viharos

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Bio-Inspired Compliant Joints and Economic MPC Co-Design for Energy-Efficient, High-Speed Locomotion in Snake-like Robots by Shuai Zhou, Gengbiao Chen, Mingyu Gong, Jing Liu, Peng Xu, Binshuo Liu, Nian Yin

“…This study introduces a bio-inspired compliant joint design integrated with a hierarchical neural oscillator network and an energy-optimized control framework. …”
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Intelligent model for forecasting fluctuations in the gold price by Mahdieh Tavassoli, Mahnaz Rabeei, Kiamars Fathi Hafshejani

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Improving Offshore Wind Speed Forecasting with a CRGWAA-Enhanced Adaptive Neuro-Fuzzy Inference System by Yingjie Liu, Fahui Miao

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Travel Time Estimation for Optimal Planning in Internal Transportation by Pragna Das, Lluís Ribas-Xirgo

“…We show that the proposed model accurately estimates arc travel times with respect to actual observations gathered from real robots traversing a few arcs of a traffic network until battery exhaustion. We experimentally obtained minimum-cost paths from random origin and destination nodes when using heuristics and the “closer-to-reality” (bilinear-state version of our model) path costs, finding that it can save an average of 15% in transportation time compared to conventional methods.…”
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Simulation Model to Optimize Turnover Schedule for Train Locomotives by P. A. Kozlov, S. P. Vakulenko

“…This work relates to a suggested simulation model to optimize turnover schedule for train locomotives operating in train flow service. …”
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Optimization Algorithm for AoI-Based UAV-Assisted Data Collection by Xiaoya Zhou, Qi Zhu

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A Max-Flow Approach to Random Tensor Networks by Khurshed Fitter, Faedi Loulidi, Ion Nechita

“…The entanglement entropy of a random tensor network (RTN) is studied using tools from free probability theory. …”
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Short packet communication in IoT networks: performance analysis by Dinh-Tung Vo, Thu Ha Thi-Pham, Minh Tran, Byung-Seo Kim, Rupak Kharel, Miroslav Voznak

“…In this paper, we investigated the block error rate (BLER) performance of a wireless powered communication network (WPCN) employing short packet communication (SPC). …”
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Evaluation and Optimization of Air Traffic Complexity Based on Resilience Metrics by Hongyong Wang, Jiawen Huang, Taotao Deng, Ziqi Song

“…Then an overall sector complexity index based on network efficiency, average network failure rate, and average network recovery rate is built. …”
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Optimized design of sensing transmission and computing collaborative industrial Internet by Jingbo LI, Li MA, Yang LI, Yingxun FU, Dongchao MA

“…In view of the new scenario and time-sensitive requirements of sensing-transmission end to computing end in the industrial Internet, and to solve the problem of end-to-end delay in applications that were not up to standard, a network optimized design scheme for sensing-transmission cooperative computing was proposed.First, the sensing-transmission computing cooperative network architecture based on cloud-edge-end was proposed to promote the deep integration of multidimensional systems and heterogeneous resources.Secondly, the network topology construction mode was optimized to reduce the average path length of the network, shorten the propagation distance, and offset the problem of signal decay due to the use of higher frequencies.Finally, the routing method was improved, and an integrated algorithm of topology optimization and routing strategy was designed to reduce the queuing delay in the network, control the end-to-end delay within a bounded range, and weaken the “long tail phenomenon”.The experimental results show that the scheme reduces the end-to-end delay and ensures the real-time and reliability of the network by optimizing the network topology and routing strategy and integrating the design.…”
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Attention Neural Network for Biomedical Word Sense Disambiguation by Chun-Xiang Zhang, Shu-Yang Pang, Xue-Yao Gao, Jia-Qi Lu, Bo Yu

“…The attention layer is used to generate a feature matrix. Average asymmetric convolutional neural networks (Av-ACNN) and bidirectional long short-term memory (Bi-LSTM) networks are utilized to extract features. …”
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An Accurate Optimized Contour Segmentation Model for Green Spherical Fruits by Ting Zhang, Ying Xu, Kai Cao, Xiude Chen, Qiaolian Liu, Weikuan Jia

“…The model employs DLA34 as the backbone network for feature extraction enhanced by a path aggregation balanced feature pyramid network (PAB FPN) with embedded attention mechanisms to refine feature representation. …”
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Artificial Intelligence Algorithm for Optimal Time Series Data Model by Kang Wang

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Spatiotemporal Fusion Algorithm Based on Multikernal Adaptive Network by Qiuhui Wang, Qiong Ran, Ke Zheng, Jiaxin Li

“…The experimental results demonstrate that MKAN excels in multiple evaluation metrics. Compared to optimal comparison algorithms, MKAN increases structural similarity by an average of 1.4% and reduces global dimensionless error by an average of 4.4%, fully demonstrating the rationality and superiority of its design. …”
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Game-theoretical frequency reuse algorithm in Femtocell network by Xiong ZHOU, Sui-li FENG, Yue-hua DING, Yong-zhong ZHANG

“…A game-theoretical frequency reuse algorithm has been proposed for Femtocell network.Firstly,each Femtocell tries to get an available sub-band by sensing its radio circumstance.Then,inner-cluster frequency collisions are avoided by implementing a negotiation mechanism.Lastly,each cluster is regarded as a game player to get the largest utility by using its optimal strategy.Despite Femtocell base stations are randomly installed by users,the proposed method performs well in Femtocell network.Simulation results show that frequency collisions are dramatically reduced and the average capacity of Femtocells is considerably enhanced.…”
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