DIFFERENTIAL DIAGNOSIS OF NORMOCALCEMIC HYPERPARATHYROIDISM by N. A. Kravchun, I. V. Chernyavskaya, Yu. A. Titova, T. I. Efimenko

“…The patient underwent clinical and biochemical blood tests, determination of the blood levels of calcium, phosphorus, parathyroid hormone, concentrations of total vitamin D, calciuria, electrocardiography, thyroid ultrasonography, and neck computed tomography.Results. Based on her complaints, examination evidence, evaluation of the clinical presentations of the disease, and objective and instrumental examination findings, the patient was diagnosed with left parathyroid adenoma and primary hyperparathyroidism; stage II hypertensive disease, grade I, a moderate risk; retinal angiopathy of both eyes; stage I dyscirculatory encephalopathy with liquor and venous dyscirculation and moderate vestibular ataxia; urolithiasis; kidney stones; and spondylosis mainly involving the lumbar spine. …”
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Deep Learning Frontiers in 3D Object Detection: A Comprehensive Review for Autonomous Driving by Ambati Pravallika, Mohammad Farukh Hashmi, Aditya Gupta

“…Furthermore, we investigated the integration of computer vision and deep learning techniques in object recognition, showing their impact on improving the perceptual capabilities of AVs. …”
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Аtmospheric wind flow around the mountain landscape in the vicinity of Danang airport and flight safety issues by V. V. Vyshinsky, K. T. Zoan

“…In this paper, a composite solution is constructed: the CVSs area generation is computed in sufficient details within the framework of the grid method. …”
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QUALITY ASSESSMENT OF A USER INTERFACE BASED ON THE MENTAL TIME OF PERFORMING THE USER TASKS OF THE SUBJECT AREA by V. K. Grigoriev, A. S. Ilyushechkin, M. A. Ovchinnikov

“…The article deals with the method of quantitative evaluation of the quality of the user interface in the form of such characteristics as errors and mental time of the tasks of the subject area. …”
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High accuracy identification of maize seed varieties based on a lightweight improved YOLOv8 by Siqi Niu, Xiaolin Xu, Ao Liang, Yuliang Yun, Fengqi Hao, Jinqiang Bai, Wenyi Sheng, Dexin Ma

“…Firstly, the backbone was replaced with FasterNet, which reduced redundant computation and memory access, allowing more efficient extraction of spatial features. …”
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FLAME-GPU for Traffic Systems: A Scalable Agent-Based Simulation Framework by Maxim Smilovitskiy, Sedar Olmez, Paul Richmond, Robert Chisholm, Peter Heywood, Alvaro Cabrejas, Sven van den Berghe, Sachio Kobayashi

“…However, the computational intensity of ABM, particularly in large-scale simulations, remains a significant hurdle. …”
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LSTM and ResNet18 for optimized ambulance routing and traffic signal control in emergency situations by Madallah Alruwaili, Ali Ali, Mohammed Almutairi, Abdulaziz Alsahyan, Mahmood Mohamed

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IMETA-GNN: Meta Learning-Based Cold Start Optimization for Recommendation System by Nida Siddique, Amna Zafar, Beenish Ayesha Akram, Muhammad Waseem, Sajid Iqbal, Ahmad A. Al-Yahya, Muhammad Nabeel Asghar, Abdullah Abdulrrehman Alaulamie

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Real-Time Polyp Detection From Endoscopic Images Using YOLOv8 With YOLO-Score Metrics for Enhanced Suitability Assessment by Zahid Farooq Khan, Muhammad Ramzan, Mudassar Raza, Muhammad Attique Khan, Areej Alasiry, Mehrez Marzougui, Jungpil Shin

“…Artificial intelligence-based computer-aided polyp detection (CAPD) tools are vital for affordable and efficient screening while mitigating the global impact of colorectal cancer. …”
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Machine learning-based academic performance prediction with explainability for enhanced decision-making in educational institutions by Wesam Ahmed, Mudasir Ahmad Wani, Pawel Plawiak, Souham Meshoul, Amena Mahmoud, Mohamed Hammad

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Improved Intelligent Condition Monitoring with Diagnostic Indicator Selection by Urszula Jachymczyk, Paweł Knap, Krzysztof Lalik

“…In doing so, we lowered computational demands and improved classification efficiency without compromising accuracy for ML models. …”
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Biologically inspired hybrid model for Alzheimer’s disease classification using structural MRI in the ADNI dataset by Houmem Slimi, Imen Cherif, Sabeur Abid, Mounir Sayadi

“…The SNN introduces architectural sparsity via spike-based computation, reducing overfitting and enhancing generalization while aligning with neuromorphic principles for energy-efficient deployment. …”
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A deep-learning approach to predict reproductive toxicity of chemicals using communicative message passing neural network by Owen He, Daoxing Chen, Yimei Li

“…Food and Drug Administration announced plans to assess toxicity with artificial intelligence-based computational models instead of animal studies in “a win-win for public health and ethics.” …”
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Predicting future morphological changes of lesions from radiotracer uptake in 18F-FDG-PET images. by Ulas Bagci, Jianhua Yao, Kirsten Miller-Jaster, Xinjian Chen, Daniel J Mollura

“…The presented methodology has several benefits over conventional qualitative and semi-quantitative methods, due to its fully quantitative nature and high accuracy in each step of (i) detection, (ii) segmentation, and (iii) feature extraction. To evaluate our proposed computational framework, thirty patients received 2 (18)F-FDG-PET scans (60 scans total), at two different time points. …”
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Symmetric Grayscale Image Encryption Based on Quantum Operators with Dynamic Matrices by Luis Olvera-Martinez, Manuel Cedillo-Hernandez, Carlos Adolfo Diaz-Rodriguez, Leonardo Faustinos-Morales, Antonio Cedillo-Hernandez, Francisco Javier Garcia-Ugalde

“…The results show that the proposed method provides a high level of security while maintaining computational efficiency.…”
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Automated digital analysis of propagated contractions recorded during fasting using high resolution small intestinal manometry in healthy participants by Poulami Samaddar, Luis Gerardo Alcala Gonzalez, Jeffrey Fetzer, Irene Cofrades del Castillo, Shivaram Poigai Arunachalam, Fernando Azpiroz, Michael Camilleri, Arthur Beyder, Carolina Malagelada

“…The velocity of fully propagated PCEs is significantly faster, and there was a significant decrease in the frequency of the PCEs following phase III activity. We conclude that computer vision-based automated evaluation of PCEs may improve our understanding of fasting intestinal motility in both health and disease.…”
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Gastrointestinal Stromal Tumor of the Stomach Presenting as a Perigastric Abscess by Dong Ryul Kim, Jee Young An, Soo Jeong Han, Hyungkeun Kim, Seoree Kim, Jiyeon Yoo, Seung Hyun Oh, Chung Min Han, Jung Hwan Oh

“…A 77-year-old man was referred for the evaluation of general weakness and leukocytosis. Computed tomography showed a 9.5×6.5-cm cavitary lesion with an air-fluid level near the stomach, which was thought to be a perigastric abscess. …”
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A smartphone application integrating deep learning and OpenCV for rapid, non-destructive grade assessment of Paeoniae Radix Alba slices by Miaohua Qian, Tao Wang, Zhikun Zhang, Weitao Chen, Yong Liu, Jianhao He, Jinsheng Wang, Qing Xia, Liangquan Jia, Chong Yao

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ITSMEI: An intelligent transport system for monitoring traffic and event information by Matheus S Quessada, Rickson S Pereira, William Revejes, Bruno Sartori, Euclydes N Gottsfritz, Douglas D Lieira, Marco AC da Silva, Geraldo P Rocha Filho, Rodolfo I Meneguette

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Explainability enhanced liver disease diagnosis technique using tree selection and stacking ensemble-based random forest model by Mohammad Mamun, Safiul Haque Chowdhury, Muhammad Minoar Hossain, M.R. Khatun, Sadiq Iqbal

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