Wake Homing Torpedo Guidance Using a Hierarchical Deep Reinforcement Learning Framework by Kunchul Hwang, Jinwhan Kim

“…While heuristic algorithms can handle typical wake trajectories, developing a robust solution for unknown trajectories remains a significant challenge. …”
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Sentiment Analysis of Tweets on Prakerja Card using Convolutional Neural Network and Naive Bayes by Pahlevi Wahyu Hardjita, Nurochman, Rahmat Hidayat

“…Convolutional neural network (CNN) is a deep learning algorithm that uses one or more layers commonly used for pattern recognition and image recognition. …”
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Hybrid beamforming for ISAC based on mmWave cell-free MIMO by DUO Lin, YANG Xin, REN Yong, XU Boyu

“…Two kinds of power constraints are considered in the study, and the improved orthogonal matching pursuit algorithm and the Riemann conjugate gradient algorithm are used for optimization. …”
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Optimization of Irrigation Requirements for the Markonahalli Command Area Using the SWAT Model by Archana K., Suresh Ramaswwamy Reddy, Jagadish Vengala, Ashish Kumar Nayak

“…The irrigation requirement is further optimized for maximum crop yield using the Nondominated Sorting Genetic Algorithm II (NSGA-II) and Pareto curves. The optimization results show that 37.85% of the irrigation requirement can be conserved while maximizing crop yield.…”
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Improving inverter efficiency for electric vehicles: Experimental validation of the neural network-based SHE technique using RT-LAB by Seyf Eddine Bechekir, Mokhtaria Jbilou, Mostefa Brahami, Fatima Zohra Boudjella, Imen Souhila Bousmaha, Mimouna Oukli, Said Nemmich

“…This study presents a real-time Selective Harmonic Elimination PWM (SHE-PWM) algorithm using artificial neural networks, validated with the OP5600 RT LAB simulator. …”
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A Smart Device Enabled System for Autonomous Fall Detection and Alert by Jian He, Chen Hu, Xiaoyi Wang

“…Meanwhile, the k NN algorithm and sliding window are introduced to develop a smart device enabled system for fall detection and alert, which is composed of a wearable motion sensor board and a smart phone. …”
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A cost- and performance-effective approach for task scheduling based on collaboration between cloud and fog computing by Xuan-Qui Pham, Nguyen Doan Man, Nguyen Dao Tan Tri, Ngo Quang Thai, Eui-Nam Huh

“…Fog computing helps to reduce transmission latency and monetary cost for cloud resources, while cloud computing helps to fulfill the increasing demands of large-scale compute-intensive offloading applications. …”
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Efficient Capacity-Based Joint Quantized Precoding and Transmit Antenna Selection Using Cross-Entropy Method for Multiuser MIMO Systems by Jung-Chieh Chen, Min-Han Chiu, Yi-Syun Yang, Kuan-Yuen Liao, Chih-Peng Li

“…To reduce the computational load while still maximizing channel capacity, the cross-entropy (CE) method is adopted to determine the suboptimum solution. …”
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Energy consumption optimization scheme in UAV-assisted MEC system based on optimal SIC order by Wei JI, Xuxin YANG, Fei LI, Ting LI, Yan LIANG, Yunchao SONG

“…In uplink non-orthogonal multiple access (NOMA)-based unmanned aerial vehicle (UAV)-assisted mobile edge computing (MEC) system, the successive interference cancellation (SIC) order of NOMA became a bottleneck limiting the transmission performance of task offload in uplink link.To reduce the energy consumption of the system, the SIC order was discussed and the optimal SIC order based on channel gain and task delay constraint was proposed.The optimization problem of minimizing the system energy consumption was proposed based on the optimal SIC order while satisfying the constraints of the given task delay of the device, the maximum transmit power constraint of the device, and the UAV trajectory.Since the problem was a complex non-convex problem, an alternating optimization method was adopted to solve the optimization problem to achieve power allocation and UAV trajectory optimization.A low-complexity algorithm based on matching theory was proposed to obtain the optimal device grouping in different time slots.Simulation results show that the optimal SIC order can realize smaller system energy consumption under the same task delay constraint compared with other SIC order, the proposed low-complexity device grouping algorithm can obtain the optimal device grouping.…”
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Reinforcement learning-enhanced adaptive sliding mode control for nonlinear systems by Omnia Youssef, Mohamed Wafa, Raafat Shalaby

“…The algorithm’s stability is rigorously proven via the Lyapunov theorem. …”
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An Improved Spider Wasp Optimizer for Green Vehicle Route Planning in Flower Collection by Mengxin Lu, Shujuan Wang

“…Moreover, a Genetic Neighborhood Comprehensive Spider Wasp Algorithm (GN_CSWA) is proposed to find the solution to this problem. …”
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A Comparison of Generalized Hyperbolic Distribution Models for Equity Returns by Virginie Konlack Socgnia, Diane Wilcox

“…To estimate the model parameters from historic distributions, we use an expectation maximization based algorithm for the univariate case and a multicycle expectation conditional maximization estimation algorithm for the multivariate case. …”
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Fast Object Tracking Employing Labelled Particle Filter for Thermal Infrared Imager by Junying Yang, Zhenghao Li, Jingman Xia, Peng Han

“…Experiments are conducted to show that the proposed algorithm can handle real-time object tracking with less time cost while maintaining high tracking accuracy.…”
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ROITP: Road Obstacle-Involved Trajectory Planner for Autonomous Trucks by Yechen Qin, Yiwei Huang, Wenhao Yu, Hong Wang

“…The planner categorizes road obstacles using a learning-based algorithm. A discrete optimization algorithm selects a multi-objective optimal trajectory while taking into account constraints and objective functions derived from truck dynamics. …”
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Piecewise Dynamic Time Warping-Based Subsequence Matching in Data Stream by Qinglin Cai, Leiying Chen, Jian Shao, Ling Chen

“…This approach significantly reduces complexity while preserving accuracy. In addition, we introduce an efficient online matching algorithm that supports incremental DTW computation, eliminating redundant calculations on overlapping subsequences and greatly accelerating processing. …”
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Development of an Optimized Ensemble Least Squares Model for Identifying Potential Deposit Customers by Firman Aziz, Mutia Maulida, Jafar Jafar, Nurafni Shahnyb, Norma Nasir, Ampauleng Ampauleng

“… The banking sector faces significant challenges in effectively promoting its products and services. While direct marketing has proven to be a potent tool for customer acquisition, it often leads to customer dissatisfaction, thereby tarnishing the bank's reputation. …”
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A novel machine learning model for perimeter intrusion detection using intrusion image dataset. by Shahneela Pitafi, Toni Anwar, I Dewa Made Widia, Zubair Sharif, Boonsit Yimwadsana

“…The analysis reveals that the proposed model achieved a silhouette score of 0.86, while comparative techniques failed to produce similar results. …”
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Multitargets Orientation Technique Based on Reflection Characteristic Analysis Using an Inverse Diffraction Parabolic Equation by Qi Guo, Daozong Sun, Zhen Li, Shilei Lyu, Xiuyun Xue

“…It is proved that the IDPE is a novel and efficient algorithm for multiple nonradiation targets orientation technology in long-range complicated terrain environment.…”
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Cryptography Triple Data Encryption Standard (3DES) for Digital Image Security by Christy Atika Sari, Eko Hari Rachmawanto, Christanto Antonius Haryanto

“…Cryptography offers an algorithm for randomizing data, so it can not be read by unauthorized people. …”
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Multi video stream collaborative adaptive offloading scheme based on equilibrium game theory by Shijun Yuan

“…Secondly, an adaptive task offloading algorithm based on game theory and Nash equilibrium is designed to achieve optimal node selection through offloading algorithm and weight allocation, minimizing the processing cost of the entire multi video stream system and balancing video stream computation latency and energy consumption; Finally, the simulation results show that the proposed scheme satisfies long-term MEC energy constraints while significantly outperforming existing benchmark research schemes in terms of cost performance.…”
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