Knowledge Distillation in Object Detection for Resource-Constrained Edge Computing by Arief Setyanto, Theopilus Bayu Sasongko, Muhammad Ainul Fikri, Dhani Ariatmanto, I. Made Artha Agastya, Rakandhiya Daanii Rachmanto, Affan Ardana, In Kee Kim

“…Edge computing, a distributed computing paradigm that places small yet capable computing devices near data sources and IoT sensors, is gaining widespread adoption in various real-world applications, such as real-time intelligent drones, autonomous vehicles, and robotics. …”
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Phase diagram from nonlinear interaction between superconducting order and density: toward data-based holographic superconductor by Sejin Kim, Kyung Kiu Kim, Yunseok Seo

“…We introduce positional embedding layers to improve the learning process in our algorithm, and the Adam optimization is used to predict the critical temperature data via holographic calculation with appropriate accuracy. …”
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A non-asymptotic analysis of adaptive TD(λ) learning in wireless sensor networks by Bing Li, Tao Li, Muhua Liu, Junlong Zhu, Mingchuan Zhang, Qingtao Wu

“…Wireless sensor network has been widely used in different fields, such as structural health monitoring and artificial intelligence technology. The routing planning, an important part of wireless sensor network, can be formalized as an optimization problem needing to be solved. …”
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Real-Time Waste Detection and Classification Using YOLOv12-Based Deep Learning Model by Mosharof Hossain Dipo, Fahmid Al Farid, Md. Sifti Al Mahmud, Muntasir Momtaz, Shakila Rahman, Jia Uddin, Hezerul Abdul Karim

“…To enable the recycling process to be optimized and to minimize environmental impact, waste materials must be well detected and classified. …”
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Probabilistic phase labeling and lattice refinement for autonomous materials research by Ming-Chiang Chang, Sebastian Ament, Maximilian Amsler, Duncan R. Sutherland, Lan Zhou, John M. Gregoire, Carla P. Gomes, R. Bruce van Dover, Michael O. Thompson

“…Abstract X-ray diffraction (XRD) is a powerful method for determining a material’s crystal structure in high-throughput experimentation, and is widely being incorporated in artificially intelligent agents for autonomous scientific discovery. …”
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On-chip waveguide digital metalenses via inverse design by Tao Wang, Qi Luo, Fengyuan Cui, Zimeng Zhang, Qinghai Song, Ke Xu

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An Underground Goaf Locating Framework Based on D-InSAR with Three Different Prior Geological Information Conditions by Kewei Zhang, Yunjia Wang, Feng Zhao, Zhanguo Ma, Guangqian Zou, Teng Wang, Nianbin Zhang, Wenqi Huo, Xinpeng Diao, Dawei Zhou, Zhongwei Shen

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A Stackelberg Game Approach to Model Reference Adaptive Control for Spacecraft Pursuit–Evasion by Gena Gan, Ming Chu, Huayu Zhang, Shaoqi Lin

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Machine vision-based detection of key traits in shiitake mushroom caps by Jiuxiao Zhao, Jiuxiao Zhao, Wengang Zheng, Wengang Zheng, Yibo Wei, Yibo Wei, Qian Zhao, Qian Zhao, Jing Dong, Jing Dong, Xin Zhang, Xin Zhang, Mingfei Wang, Mingfei Wang

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Efficient and Stable Learning for Distribution Network Operation: A Model-Based Reinforcement Learning Approach by Dong Yan, Zhan Shi, Xinying Wang, Yiying Gao, Tianjiao Pu, Jiye Wang

“…Modern artificial intelligence (AI) methods, particularly DRL methods, promise faster decision-making but face challenges, including inefficient training and real-world application. …”
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Advancing sustainability: The impact of emerging technologies in agriculture by Ashoka Gamage, Ruchira Gangahagedara, Shyamantha Subasinghe, Jeewan Gamage, Chamini Guruge, Sera Senaratne, Thevin Randika, Chamila Rathnayake, Zammil Hameed, Terrence Madhujith, Othmane Merah

“…Technological interventions serve to optimize efficiency and minimize the adverse ecological effects associated with farming, promoting the goals of sustainable agriculture. …”
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Research on Dynamic Dissolving Model and Experiment for Rock Salt under Different Flow Conditions by Xinrong Liu, Xin Yang, Zuliang Zhong, Ninghui Liang, Junbao Wang, Ming Huang

“…Devices were also designed to test the dynamic dissolving process for rock salt samples under different flow quantities and then utilized the finite-difference method to find the numerical solution of the dynamic dissolving model. The artificial intelligence algorithm, Particle Swarm Optimization algorithm (PSO), was finally introduced to conduct inverse analysis of parameters on the established model, whose calculation results coincide with the experimental data.…”
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Design of Reinforcement Learning Guidance Law for Antitorpedo Torpedoes by Zhong Wang, Zhiwen Wen, Weitong Cui, Daming Zhou, Pei Wang

“…The greedy algorithm and temporal difference learning are employed to train the DQN, and the optimal proportional guidance coefficient is selected from the DQN by the real-time state of the torpedo. …”
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Experimental Study of Solar Hot Water Heating System with Adaptive Control Strategy by Pawel Znaczko, Norbert Chamier-Gliszczynski, Kazimierz Kaminski

“…The findings confirm that intelligent control strategies not only enhance technical performance but also improve the economic and environmental value of solar thermal systems.…”
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Outage Analysis in SWIPT-Based Decode-and-Forward Relay Networks with Partial Relay Selection by Phu Tran Tin, Van-Duc Phan, Phu X. Nguyen, Thanh-Long Nguyen, Dong-Si Thien Chau, Tan N. Nguyen

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A Review of Emerging Techniques for Power Quality Improvement in Renewable Energy Integration by Kumar P. Rajesh, Shravani Chapala, Rajitha M., Lokeshwar Reddy Ch.

“…Future research directions are outlined, highlighting the need for further advancements in real-time monitoring, adaptive algorithms, and hybrid systems that combine multiple techniques for optimal performance. …”
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Orchard-Wide Visual Perception and Autonomous Operation of Fruit Picking Robots: A Review by CHEN Mingyou, LUO Lufeng, LIU Wei, WEI Huiling, WANG Jinhai, LU Qinghua, LUO Shaoming

“…Enhanced strategies for effective fruit picking using the Eye-in-Hand system involve the development of more dexterous robotic hands and improved algorithms for precisely predicting the optimal picking point of each fruit. …”
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AI-Powered System to Facilitate Personalized Adaptive Learning in Digital Transformation by Yao Yao, Horacio González-Vélez

“…As Large Language Models (LLMs) incorporate generative Artificial Intelligence (AI) and complex machine learning algorithms, they have proven to be highly effective in assisting human users with complex professional tasks through natural language interaction. …”
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Obstacle-Avoidance Planning in C-Space for Continuum Manipulator Based on IRRT-Connect by Yexing Lang, Jiaxin Liu, Quan Xiao, Jianeng Tang, Yuanke Chen, Songyi Dian

“…Aiming at the challenge of trajectory planning for a continuum manipulator in the confined spaces of gas-insulated switchgear (GIS) chambers during intelligent operation and maintenance of power equipment, this paper proposes a configuration space (C-space) obstacle-avoidance planning method based on an improved RRT-Connect algorithm. …”
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Improved deep learning model for accurate energy demand prediction and conservation in electric vehicles integrated with cognitive radio networks by V. Niranjani, Anandakumar Haldorai

“…To overcome this issue, this paper proposed a model of Empirical Mode Decomposition with CNN and optimized with Seagull Optimization Algorithm (EMD-CNN-SOA). …”
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