TIAR-SAR: An Oriented SAR Ship Detector Combining a Task Interaction Head Architecture with Composite Angle Regression by Yu Gu, Minding Fang, Dongliang Peng

“…These include the inherent misalignment between regression and classification tasks and the boundary discontinuity problem in oriented object detection. These issues hinder efficient and accurate ship detection in complex scenarios. …”
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Optimization of Beamforming and Transmit Power Using DQN and Comparison With Traditional Techniques by Parmida Geranmayeh, Eckhard Grass

“…As Artificial Intelligence (AI) and Machine Learning (ML) technologies continue to evolve, their integration into 5G and 6G networks has become critical for improving performance and efficiency. These technologies enhance wireless communication by leveraging deep neural networks and data-driven methods to optimize resource allocation, signal detection, and channel coding. …”
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Dynamic Frequency Optimization for Underwater Acoustic Energy Transmission: Balancing Absorption and Geometric Diffusion in Marine Environments by Zhongzheng Liu, Tao Zhang, Yuhang Li, Yazhen Yuan, Nahid Mahmud, Yanzhang Geng

“…The transmission efficiency of underwater acoustic is doubly constrained by absorption attenuation and geometric spreading losses, with the relative interaction between these loss mechanisms exhibiting complex dynamic variations across the frequency spectrum. …”
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Research on a Panoramic Image Stitching Method for Images of Corn Ears, Based on Video Streaming by Yi Huangfu, Hongming Chen, Zhonghao Huang, Wenfeng Li, Jie Shi, Linlin Yang

“…<b>Objective:</b> In order to solve the problem of limited field of view associated with computer detection of the corn ear shape index against a complex background, this paper proposes a panoramic splicing method for corn ears against a complex background, which can splice 10 corn ear panoramic images at the same time, to improve information collection efficiency, display comprehensive information, and support data analysis, so as to realize automatic corn seed examination. …”
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Mitigating Transmission Errors: A Forward Error Correction-Based Framework for Enhancing Objective Video Quality by Muhammad Babar Imtiaz, Rabia Kamran

“…In video transmission, maintaining high visual quality under variable network conditions, including bandwidth and efficiency, is essential for optimal viewer experience. …”
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SMEA-YOLOv8n: A Sheep Facial Expression Recognition Method Based on an Improved YOLOv8n Model by Wenbo Yu, Xiang Yang, Yongqi Liu, Chuanzhong Xuan, Ruoya Xie, Chuanjiu Wang

“…In response to challenges such as missed detections, false positives, and low recognition accuracy in sheep facial expression recognition, this paper introduces an enhanced algorithm based on YOLOv8n, referred to as SimAM-MobileViTAttention-EfficiCIoU-AA2_SPPF-YOLOv8n (SMEA-YOLOv8n). …”
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A hybrid YOLO-UNet3D framework for automated protein particle annotation in Cryo-ET images by Ziyang Liu, Chunhong Yuan, Zixin Zhang, Xiang Zhou, Xiangyu Li, Zhen Tian, Yuting Pei, Zuowen Jiang, Zhikui Tian

“…Abstract Accurate localization and identification of protein complexes in cryo-electron tomography (cryo-ET) volumes are essential for understanding cellular functions and disease mechanisms. …”
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A Unified Multi-Target Clever Eye Algorithm: Analytical Solutions and Application by Lei Wang, Xiurui Geng, Luyan Ji

“…In addition, it has been theoretically proven that the solutions of the best data origins can be attributed to solving a linear equation, which makes it computationally efficient. However, CE is only designed for single-target detection cases, while multiple-target detection is more demanding in real applications. …”
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Gait Recognition With Wearable Sensors Using Modified Residual Block-Based Lightweight CNN by Md. Al Mehedi Hasan, Fuad Al Abir, Md. Al Siam, Jungpil Shin

“…However, most recent studies have focused on improving gait detection accuracy while neglecting model complexity in the deep learning domain, making them unsuitable for low-power wearable devices. …”
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Survey on deep learning-based integrated sensing and communication systems by RAN Xinyi, CHEN Qianbin, XU Yongjun, ZUO Wenke, ZHAO Yun, CHEN Li

“…The rapid development of deep learning recently provided a novel paradigm to resolve these limitations, enabling systems to process massive data more effectively, achieve adaptive learning, and make intelligent decisions in complex environments, thereby optimizing system performance. …”
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Models, systems, networks in economics, engineering, nature and society by V.V. Khryashchev, A.L. Priorov, N.V. Kotov, K.I. Malygin

“…The considered algorithms will serve as the basis for developing a hardware and software complex with an algorithmic module for detecting pathologies in colonoscopic images. …”

Decision support algorithm to prevent hardware failures by E. A. Abidova

“…The problem with this approach is that going beyond the set limits is fixed after the equipment has lost maintainability or requires complex expensive repairs. Therefore, the goal is early and reliable detection of defects in electromechanical equipment. …”
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Multi-feature Fusion Network for Classification of Pipeline Magnetic Leakage Signals by WEI Yuanyuan, LIU Ruiping, FU Shimo, WANG Yaoli

“…Methods The network leverages standard orthogonal basis functions (OBF) and minimum entropy detection (MED) features were used to comprehensively and accurately capture the complex characteristics of magnetic leakage signals. …”
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Nonmetallic modified zero-valent iron for remediating halogenated organic compounds and heavy metals: A comprehensive review by Zimin Yan, Jia Ouyang, Bin Wu, Chenchen Liu, Hongcheng Wang, Aijie Wang, Zhiling Li

“…The discussion progresses towards a critical analysis of current strategies and mechanisms used for NM-ZVI to enhance its reactivity, electron selectivity, and electron utilization efficiency. This is achieved by optimizing the elemental compositions, content ratios, lattice constants, hydrophobicity, and conductivity. …”
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Factors and applications of carbon dioxide huff-and-puff technology in small toothbrush-shaped oil reservoirs by Jinyong Li, Hongyu Gong, Qin Qin, Rui Wu

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Internet of Things (IoT)-Based Solutions for Uneven Roads and Balanced Vehicle Systems Using YOLOv8 by Momotaz Begum, Abm Kamrul Islam Riad, Abdullah Al Mamun, Thofazzol Hossen, Salah Uddin, Md Nurul Absur, Hossain Shahriar

“…These problems are often complex and challenging to resolve with traditional detection and stabilization methods. …”
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Integrating IT and OT for Cybersecurity: A Stochastic Optimization Approach via Attack Graphs by Gonzalo Martinez Medina, Krystel K. Castillo-Villar, Tanveer Hossain Bhuiyan

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High-precision Simulation of Dynamic Oceans Synthetic Aperture Radar Imaging and Its Typical Application by Xiaoqing WANG, Rui QI, Xiaonan YAO, Chengji XU, Xiaopeng CHAO

“…It can also provide training samples for detecting and recognizing SAR images of complex ocean phenomena. …”
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Investigation and Empirical Analysis of Transfer Learning for Industrial IoT Networks by Preeti Yadav, Vinay Rishiwal, Mano Yadav, Aziz Alotaibi, Vinay Maurya, Udit Agarwal, Satyam Sharma

“…The Industrial Internet of Things Networks (IIoT-N) have revolutionized industrial systems by connecting sensors, devices, and data analytics, creating complex, data-driven environments. However, key challenges persist, such as data diversity, scalability issues, sparse data, anomaly detection, and adapting to changing conditions while managing limited resources. …”
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Optimizing Open Radio Access Network Systems with LLAMA V2 for Enhanced Mobile Broadband, Ultra-Reliable Low-Latency Communications, and Massive Machine-Type Communications: A Fram... by H. Ahmed Tahir, Walaa Alayed, Waqar ul Hassan, Thuan Dinh Do

“…LLAMA_V2 was selected for its superior ability to capture complex network dynamics, surpassing traditional AI/ML models. …”
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