Representation Enhancement-Based Proximal Policy Optimization for UAV Path Planning and Obstacle Avoidance by Xiangxiang Huang, Wei Wang, Zhaokang Ji, Bin Cheng

“…This paper proposes a representation enhancement-based proximal policy optimization (RE-PPO) framework to address these issues. The representation enhancement (RE) module consists of observation memory improvement (OMI) and dynamic relative position-attitude reshaping (DRPAR). …”
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Mitosis detection in histopathological images using customized deep learning and hybrid optimization algorithms. by Afnan M Alhassan, Nouf I Altmami

“…The CDL model comprises a Transfer Learning-based Mitosis Detection module under which extracted features from pre-trained deep networks are used to bolster feature extraction and alleviate class imbalance through skip connections to better localize mitosis. …”
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Entrepreneurship Education: Embedding Practitioner Experience by Lester LLOYED - REASON, Roger MUMBY - CROFT, Leigh SEAR

“…This paper will firstly explore the key issues raised by the policy community and others calling into question the appropriateness of the way in which enterprise and entrepreneurship is taught. …”
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Optical Sensors for Industrial and Biomedical Applications by Amideddin Mataji-Kojouri, Amirsaman Nooramin, Mahmoud Shahabadi

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Dual-Alignment CLIP: Task-Specific Alignment of Text and Visual Features for Few-Shot Remote Sensing Scene Classification by Dongmei Deng, Ping Yao

“…However, existing CLIP-based methods still have two essential issues: 1) bias in text features; 2) unreliable similarity in image features. …”
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MIESTC: A Multivariable Spatio-Temporal Model for Accurate Short-Term Wind Speed Forecasting by Shaohan Li, Min Chen, Lu Yi, Qifeng Lu, Hao Yang

“…Then, a multivariate spatio-temporal correlation module is used to capture the global spatio-temporal dependencies between variables and model their interactions. …”
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Big data transfer service architecture for cloud data centers: problems, methods, applications, and future trends by Muhammad Umar Majigi, Ismaila Idris, Shafi’i Muhammad Abdulhamid, Richard A. Ikuesan

“…After thoroughly screening selected peer-reviewed articles, the primary open issues are: incorporating a data placement module in the data transfer service, providing end-to-end safeguards for packet delivery, improving data transfer time and speed, minimizing costs and implementation overhead, ensuring secure data transfer between servers in the cloud, demonstrating effective big data transfer architectures, considering topology-specific extensions to reduce the busty nature of data centers, and enhancing data transfer services using machine learning algorithms during upload and download operations. …”
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The Use of Road Microsimulation Software within BIM Environments: A Preliminary Assessment by Marilisa Botte, Amedeo Zampi, Cristina Oreto, Luca D’Acierno

“…In this context, there arises the need to perform a comprehensive analysis, combining infrastructure design and building issues with transportation theory principles. For this purpose, the paper proposes a comparative analysis of two different approaches relying on BIM-based tools, namely integrated (i.e., BIM environments with an in-built module for transport simulation tasks) and an interfaceable solution (i.e., BIM environments offering a customised interface for external mobility simulation software). …”
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MSDP-Net: A YOLOv5-Based Safflower Corolla Object Detection and Spatial Positioning Network by Hui Guo, Haiyang Chen, Tianlun Wu

“…This approach is designed to overcome issues related to the small size of safflower corollas and their tendency to be occluded in complex agricultural environments. …”
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Fault analysis of railway track superstructure using time-frequency method from vibrational data by Shahzor Memon, Imtiaz Hussain, Lubna Moin

“…Axle loads and speed, insufficient rail hardness, environmental factors, wear, and corrosion lead to corrugation, ballast issues, and other track surface faults that lead to accidents. …”
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Research on Lightweight Model of Multi-person Pose Estimation Based on Improved YOLOv8s-Pose by FU Yu, GAO Shuhui

“…To address the issues of high computational load and slow detection speed in existing human pose estimation models, this paper proposes a lightweight improved algorithm based on the YOLOv8s-Pose model. …”
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Sınıf Öğretmeni Yetiştirme Programları ve Sanat Eğitimi by Ayşe ÇAKIR İLHAN

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SAVE-T: Safety Analysis Visualization and Evaluation Tool by Yuan Zhu, Sami Demiroluk, Kaan Ozbay, Kun Xie, Hong Yang, Di Sha

“…Traffic crashes are one of the biggest issues which constitute a threat to lives of the motorists and disrupt operations of the transportation system. …”
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Subspace Projection Attention Network for GPR Heterogeneous Clutter Removal by Yanjie Cao, Xiaopeng Yang, Conglong Guo, Dong Li, Peng Yin, Tian Lan

“…In order to solve these issues, a subspace projection attention (SPA) network is proposed for GPR heterogeneous clutter removal in this article. …”
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Blind Cartography for Side Channel Attacks: Cross-Correlation Cartography by Laurent Sauvage, Sylvain Guilley, Florent Flament, Jean-Luc Danger, Yves Mathieu

“…In this paper, we present a localisation method based on cross-correlation, which issues a list of areas of interest within the attacked device. …”
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Fusion of Visual Attention and Scene Descriptions With Deep Reinforcement Learning for AAV Indoor Autonomous Navigation by Hussein Samma, Ahmed Abubaker, Mubarak Badamasi Aremu, Mohammed Abdel-Nasser, Sami El-Ferik

“…Autonomous indoor AAV navigation in GPS-denied environments is challenging. Issues include low lighting and obstacles. This work proposes a dual guidance framework to address these challenges. …”
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FE-P Net: An Image-Enhanced Parallel Density Estimation Network for Meat Duck Counting by Huanhuan Qin, Wensheng Teng, Mingzhou Lu, Xinwen Chen, Ye Erlan Xieermaola, Saydigul Samat, Tiantian Wang

“…The Reconstructed Convolution Module is a crucial component that helps distinguish targets from backgrounds, significantly improving feature extraction accuracy. …”
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IDDNet: Infrared Object Detection Network Based on Multi-Scale Fusion Dehazing by Shizun Sun, Shuo Han, Junwei Xu, Jie Zhao, Ziyu Xu, Lingjie Li, Zhaoming Han, Bo Mo

“…IDDNet includes a multi-scale fusion dehazing (MSFD) module, which uses multi-scale feature fusion to eliminate haze interference while preserving key object details. …”
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MonoDFNet: Monocular 3D Object Detection with Depth Fusion and Adaptive Optimization by Yuhan Gao, Peng Wang, Xiaoyan Li, Mengyu Sun, Ruohai Di, Liangliang Li, Wei Hong

“…In order to effectively obtain and integrate depth information, this paper designs a multi-branch depth prediction with weight sharing module. Furthermore, an adaptive focus mechanism is proposed to emphasize target regions while minimizing interference from irrelevant areas. …”
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OITrack: Multi-Object Tracking for Small Targets in Satellite Video via Online Trajectory Completion and Iterative Expansion over Union by Weishan Lu, Xueying Wang, Wei An, Chao Xiao, Qian Yin, Guoliang Zhang

“…Multi-object tracking (MOT) in satellite videos presents significant challenges, including small target sizes, dense distributions, and complex motion patterns. To address these issues, we propose OITrack, an improved tracking framework that integrates a Trajectory Completion Module (TCM), an Adaptive Kalman Filter (AKF), and an Iterative Expansion Intersection over Union Strategy (I-EIoU) strategy. …”
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