The Role of Serum Cytokines in the Pathogenesis of Hepatic Osteodystrophy in Male Cirrhotic Patients by Ali Riza Soylu, Cengiz Tuglu, Ender Arikan, Tarkan Yetisyigit, Hakan Kunduracılar, Ibrahim Hakki Koker, Gulbin Unsal, Ahmet Huseyin Tezel, Hasan Umit, Sakir Berkarda

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Artificially intelligent detection of retinal pigment sign using P3S-Net for retinitis pigmentosa analysis by Syed Muhammad Ali Imran, Abida Hussain, Nema Salem, Muhammad Arsalan

“…Utilizing the publicly available Retinal Images for Pigment Signs (RIPS) dataset for retinal pigment detection and segmentation, 4-fold cross-validation tests were conducted to assess the suggested P3S-Net. …”
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A Comprehensive Approach to Intrusion Detection in IoT Environments Using Hybrid Feature Selection and Multi-Stage Classification Techniques by G. Logeswari, J. Deepika Roselind, K. Tamilarasi, V. Nivethitha

“…Specifically, it achieves 98.83% accuracy, 98.56% precision, and 98.65% F-Measure on the TON-IoT dataset, and 98.6% accuracy, 98.5% precision, and 98.94% F-Measure on the BOT-IoT dataset, showcasing its superior performance over existing IDS models. …”
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Advanced deep learning techniques for recognition of dental implants by Veena Benakatti, Ramesh P. Nayakar, Mallikarjun Anandhalli, Rohit sukhasare

“…After augmentation, a dataset of 1744 images was secured and then split into training, validation and test datasets for the model. …”
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S³DR-Det: A Rotating Target Detection Model for High Aspect Ratio Shipwreck Targets in Side-Scan Sonar Images by Quanhong Ma, Shaohua Jin, Gang Bian, Yang Cui, Guoqing Liu, Yihan Wang

“…Our model achieves an average accuracy (AP) of 89.68% on the SSUTD dataset and 90.19% on the DNASI dataset. These results indicate that our model has excellent detection performance.…”
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Risk of TB disease in individuals with cancer by T. Diefenbach-Elstob, S. Tabrizi, P. Rivest, A. Benedetti, L. Azoulay, K. Schwartzman, C. Greenaway

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The algebraic extended atom-type graph-based model for precise ligand–receptor binding affinity prediction by Farjana Tasnim Mukta, Md Masud Rana, Avery Meyer, Sally Ellingson, Duc D. Nguyen

“…Evaluated against benchmark datasets such as CASF-2016, CASF-2013, and the Cathepsin S dataset, the AGL-EAT-Score demonstrates notable accuracy, outperforming existing traditional and ML-based methods. …”
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Construction of the Giant Panda National Park corridor and restoration of edible bamboo: A case study of from the Chengdu area region by Xing Wang, Yu-Ting Yang, Yan Wu, Yu Xie, Pei Tu, Mei-Ling Liu, Mei-Jiao Zhang, Tao Lu

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Diagnosis of COVID-19 Using a Deep Learning Model in Various Radiology Domains by Yousef Alhwaiti, Muhammad Hameed Siddiqi, Madallah Alruwaili, Ibrahim Alrashdi, Saad Alanazi, Muhammad Hasan Jamal

“…For experiments, we utilized 70% of the dataset for training and 30% for testing against each dataset. …”
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Automated Breast Cancer Detection in Mammograms using Transfer Learningbased Deep Learning Models by Preeti Katiyar, Krishna Singh

“…Materials and Methods: The dataset obtained from the Mammographic Image Analysis Society (MIAS) was categorised into three distinct categories: benign, malignant and normal. …”
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Caption Generation Based on Emotions Using CSPDenseNet and BiLSTM with Self-Attention by Kavi Priya S, Pon Karthika K, Jayakumar Kaliappan, Senthil Kumaran Selvaraj, Nagalakshmi R, Baye Molla

“…The decoding unit employs a self-attention mechanism encompassed with BiLSTM to create more descriptive and relevant captions in natural language. The Flickr11k dataset, a subset of the Flickr30k dataset is used to train, test, and evaluate the present model based on five benchmark image captioning metrics. …”
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Identifying Tomato Growth Stages in Protected Agriculture with StyleGAN3–Synthetic Images and Vision Transformer by Yao Huo, Yongbo Liu, Peng He, Liang Hu, Wenbo Gao, Le Gu

“…However, traditional approaches often face challenges like non-standardized data collection, unbalanced datasets, low recognition efficiency, and limited accuracy. …”
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Muscle Strength, Oxygen Saturation and Physical Activity in Patients with Chronic Exertional Compartment Syndrome Compared to Asymptomatic Controls by Lisa Urup Tønning, Bjarne Mygind-Klavsen, Troels Kjeldsen, Ulrik Dalgas, John Brincks, Inger Mechlenburg

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A multi-scale rotated ship targets detection network for remote sensing images in complex scenarios by Siyu Li, Fei Yan, Yunqing Liu, Yuzhuo Shen, Lan Liu, Ke Wang

“…The proposed algorithm is validated on two public remote sensing image datasets, HRSC2016 and DOTA. The mAP07, mAP12 on the HRSC2016 dataset, as well as the mAP in the ship category of the DOTA dataset, show a significant advantage over other commonly used object detection algorithms, with accuracies of 90.70%, 98.98%, and 89.46%, respectively. …”
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AI-Based Hybrid Models for Predicting Loan Risk in the Banking Sector by Vikas Kumar, Shaiku Shahida Saheb, Preeti, Atif Ghayas, Sunil Kumari, Jai Kishan Chandel, Saroj Kumar Pandey, Santosh Kumar

“…The choice of an ML model for a dataset is critical. A loan risk model is used to show how ML models for a dataset can be linked together. …”
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Identified VCAM1 as prognostic gene in gastric cancer by co-expression network analysis by Wenjuan Li, Hong Gao, Jianjun Liu

“…This study aims to identify genetic variances and potential diagnostic and therapeutic approaches for diverse types of gastric cancer utilizing an extensive dataset. Data from RNA sequencing and clinical pathological details were acquired from The Cancer Genome Atlas (TCGA) database and the Gene Expression Omnibus (GEO) dataset. …”
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Risk-Aware Stochastic Vehicle Trajectory Prediction With Spatial-Temporal Interaction Modeling by Yuxiang Feng, Qiming Ye, Eduardo Candela, Jose Javier Escribano-Macias, Bo Hu, Yiannis Demiris, Panagiotis Angeloudis

“…The established model was trained and evaluated with the publicly available Highway Drone Dataset and Intersection Drone Dataset. The performance of the developed model was assessed with eight state-of-the-art methods. …”
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BuDDI: Bulk Deconvolution with Domain Invariance to predict cell-type-specific perturbations from bulk. by Natalie R Davidson, Fan Zhang, Casey S Greene

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Pixel and region-oriented classification of Sentinel-2 imagery to assess LULC dynamics and their climate impact in Nowshera, Pakistan by Farnaz, Nuthammachot Narissara, Shabbir Rabia, Iqbal Benazeer

“…As a first step, freely available high-resolution multispectral data of Sentinel-2 satellite are acquired, which serves as input dataset for both pixel and region-oriented classifiers. …”
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A Real-Time Semantic Segmentation Method of Sheep Carcass Images Based on ICNet by Shida Zhao, Guangzhao Hao, Yichi Zhang, Shucai Wang

“…In addition, we verify the generalization ability of the ICNet for the sheep carcass image dataset by setting different brightness image segmentation experiments. …”
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