YOLOv8-TF: Transformer-Enhanced YOLOv8 for Underwater Fish Species Recognition with Class Imbalance Handling by Chiranjibi Shah, M M Nabi, Simegnew Yihunie Alaba, Iffat Ara Ebu, Jack Prior, Matthew D. Campbell, Ryan Caillouet, Matthew D. Grossi, Timothy Rowell, Farron Wallace, John E. Ball, Robert Moorhead

“…However, implementing fish species detection algorithms in underwater environments presents significant challenges due to factors such as varying lighting conditions, water turbidity, and the diverse appearances of fish species. …”
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Delaying induction of ovulation and timed artificial insemination in a Double-Ovsynch protocol increased expression of estrus and altered first-service reproductive outcomes of lac... by A.L. Laplacette, C. Rial, E. Sitko, M.M. Perez, S. Tompkins, M.L. Stangaferro, M.J. Thomas, J.O. Giordano

“…At PGF-L, cows blocked by parity (primiparous vs. multiparous) and semen used for first service (sex-sorted dairy vs. conventional beef) were randomly assigned to the G56 (n = 2,338) or G80 (n = 2,334) treatments. …”
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GD-Det: Low-Data Object Detection in Foggy Scenarios for Unmanned Aerial Vehicle Imagery Using Re-Parameterization and Cross-Scale Gather-and-Distribute Mechanisms by Rui Shi, Lili Zhang, Gaoxu Wang, Shutong Jia, Ning Zhang, Chensu Wang

“…Unmanned Aerial Vehicles (UAVs) play an extremely important role in real-time object detection for maritime emergency rescue missions. However, marine accidents often occur in low-visibility weather conditions, resulting in poor image quality and a lack of object detection samples, which significantly reduces detection accuracy. …”
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PictureGuard: Enhancing Software-Defined Networking–Internet of Things Security with Novel Image-Based Authentication and Artificial Intelligence-Powered Two-Stage Intrusion Detect... by Hazem (Moh’d Said) Hatamleh, As’ad Mahmoud As’ad Alnaser, Said S. Saloum, Ahmed Sharadqeh, Jawdat S. Alkasassbeh

“…To overcome these issues, we proposed a secure SDN-IoT environment for intrusion detection and prevention using virtual blockchain (V-Block). …”
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Early detection of motor dysfunction in the SOD1G93A mouse model of Amyotrophic Lateral Sclerosis (ALS) using home cage running wheels. by Ellen J Bennett, Richard J Mead, Mimoun Azzouz, Pamela J Shaw, Andrew J Grierson

“…We show that home cage running wheels detect reductions in motor function at a similar time to the rotarod test, and that the data obtained are less variable allowing the use of smaller groups of animals to obtain satisfactory results. …”
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LARNet-SAP-YOLOv11: A Joint Model for Image Restoration and Corrosion Defect Detection of Transmission Line Fittings Under Multiple Adverse Weather Conditions by Yuxiang Gong, Lin Gao, Hao Zhang, Huaguo Liu, Yongdan Zhu, Yu Yang

“…Adverse weather conditions such as haze, rain, and snow degrade images captured by uncrewed aerial vehicles (UAVs) during transmission line inspections and severely affect the detection of corrosion defects in transmission line fittings. …”
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WindDefNet: A Multi-Scale Attention-Enhanced ViT-Inception-ResNet Model for Real-Time Wind Turbine Blade Defect Detection by Majad Mansoor, Xiyue Tan, Adeel Feroz Mirza, Tao Gong, Zhendong Song, Muhammad Irfan

“…These results underscore the potential of the proposed model for defect detection in industrial applications.…”
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scSEETV‐Net: Spatial and Channel Squeeze‐Excitation and Edge Attention Guidance V‐Shaped Network for Skin Lesion Segmentation by Hakan Ocal

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Design and performance evaluation of low-voltage solid-state DCCB using capacitor-based surge mitigation techniques by Mehdi Moradian, Tek Tjing Lie, Kosala Gunawardane

“…This article conducts practical tests on four different configurations of solid-state DC circuit breakers (SS-DCCBs), investigating fault detection and circuit interruption phenomena in DC systems. …”
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Underwater Image Enhancement Based on Transformer, Attention, and Multi-Color-Space Inputs by Liqiong Lu, Dong Wu, Liuyin Wang, Wanzhen Zhang, Tonglai Liu

“…This paper proposes an underwater image enhancement method based on transformer, attention and multi-color-space inputs. First, transformer block is embedded into ResNet-50 as the backbone network. …”
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Deep learning approach with ConvNeXt-SE-attn model for in vitro oral squamous cell carcinoma and chemotherapy analysis by Abhay Nath, Om Roy, Priyanka Silveri, Sanskruti Patel

“…The findings are critical to the increased feature-representation power and the robustness of classification of the architecture.The proposed architecture employs ConvNeXt backbone with SE blocks and hybrid attention to extract essential details within class boundaries which standard models usually miss.The activation through Gaussian-based GReLU incorporates Swish activation together with DropPath regularization for producing smooth gradient patterns which lead to generalizable features across imbalanced datasets.Grad-CAM enhances interpretability by showing which image sections lead to predictions in order to enable clinical decisions.The model demonstrates its capability as an effective detection method for minimal variations in oral cells which supports precise non-invasive treatment approaches for OSCC.…”
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A Review of UAV Path-Planning Algorithms and Obstacle Avoidance Methods for Remote Sensing Applications by Dipraj Debnath, Fernando Vanegas, Juan Sandino, Ahmad Faizul Hawary, Felipe Gonzalez

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CENTRAL ASIAN GEODYNAMIC REGIMES WEST AND EAST 102–104° GEODIVIDER by Yu. G. Gatinsky, T. V. Prokhorova, D. V. Rundquist

“…Near the geodivider, a seismic energy increase is detected east of it only at the western border of the South-Eastern China Block. …”
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Does the blood glucose control have an effect on the success of the painful diabetic neuropathy treatment? by Jovanikić Olivera, Anđelić Gordana, Lepić Milan, Mirković Dušica, Jovanović Bojan, Lepić Toplica, Dragović Tamara

“…Patients (n = 53, both gender, average age 68.3 ± 12.6) with PDN resistant to the pharmacotherapy were treated with the ultrasound- guided local anesthetic (0.5% procaine hydrochloride, 1% lidocaine, 0.25% levobupivacaine) blocks. Neuropathy was confirmed in accordance with the applicable European Federation of Neurological Societies (EFNS) criteria. …”
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Automatic serving method of volleyball training robot based on improved YOLOv5 and improved Hough transform by Tao Sun, Xiaolong He, Jiajun Zhang

“…The model outperformed the comparison model in accuracy, root mean square error, recall, and F1-score, with a detection accuracy of 92.3% and a root mean square error of only 0.18. …”
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Development of OCR Service for Page-Level Recognition for Camera-Captured Document Images by Junyoung Park, Wonjun Kang, Seonji Park, Keuntek Lee, Hyung Il Koo, Nam Ik Cho

“…However, most existing methods have primarily focused on scene text or well-structured document images, and typically limit text detection and recognition to the word level. In this paper, we propose a novel OCR framework capable of detecting and recognizing text at both the text-line and text-block levels. …”
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Development of Robust CNN Architecture for Grading and Classification of Renal Cell Carcinoma Histology Images by Amit Kumar Chanchal, Shyam Lal, Shilpa Suresh

“…Squeeze and Extract (SE) blocks are used to remove unnecessary contributions from noisy channels and improve model accuracy. …”
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Big Data Cleaning Based on Improved CLOF and Random Forest for Distribution Networks by Jie Liu, Yijia Cao, Yong Li, Yixiu Guo, Wei Deng

“…Experimental results show that outlier detection is accurate and suitable for any shape and multidimensional power big data. …”
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UAV-based estimation of post-sowing rice plant density using RGB imagery and deep learning across multiple altitudes by Trong Hieu Luu, Thanh Tam Nguyen, Quang Hieu Ngo, Huu Cuong Nguyen, Phan Nguyen Ky Phuc

“…The robust rice plant density estimation process incorporates two key innovations: first, a dynamic system of 12 adaptive segmentation thresholding blocks that effectively detects rice seed presence across diverse and variable background conditions. …”
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HyCoViT: Hybrid Convolution Vision Transformer With Dynamic Dropout for Enhanced Medical Chest X-Ray Classification by Omid Almasi Naghash, Nam Ling, Xiang Li

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