Water-based hybrid nanofluid flow containing CNT nanoparticles over an extending surface with velocity slips, thermal convective, and zero-mass flux conditions by Yasmin Humaira, Bossly Rawan, Alduais Fuad S., Al-Bossly Afrah, Saeed Anwar

“…To ensure the validation of this work, a comparative study is conducted in this work with a fine agreement among the current and established datasets.…”
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A fast monocular 6D pose estimation method for textureless objects based on perceptual hashing and template matching by Jose Moises Araya-Martinez, Jose Moises Araya-Martinez, Vinicius Soares Matthiesen, Vinicius Soares Matthiesen, Simon Bøgh, Jens Lambrecht, Rui Pimentel de Figueiredo

“…Our set of experiments on a synthetically generated dataset reveals a trade-off between accuracy and computation time superior to a previous work on the same automotive-production use case. …”
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Assessing the Fidelity and Utility of Water Systems Data Using Generative Adversarial Networks: A Technical Review by Md Nazmul Kabir Sikder, Yingjie Wang, Feras A. Batarseh

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Diaphragm Fatigue Does Not Impact Breathing Mechanics or Function in People with Chronic Low Back Pain by Mitchell UH, Robinson LT, Brinkman J, Bruening DA, Bowden AE, Allen SP

“…The breathing patterns and diaphragm function of both groups were compared, but no significant differences were found.What do these results mean: Even when the diaphragm is tired, it continues to work well for breathing, though it may be less effective in supporting the spine. …”
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An improved multiclass classification of acute lymphocytic leukemia using enhanced glowworm swarm optimization by Saranya N, Kalamani M

“…The ultimate goal of this work is to develop a computer aided automatic classification system to classify Benign, Early, Pro-B and Pre-B classes of ALL. …”
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Application of Image Processing Technology in the Diagnosis of Football Injury by Liyun Xu, Zhubo Xu

“…Then, starting from the relevant image features, the paper analyzes and compares the sensitivity of support vector machine pattern recognition and neural network pattern recognition in football injury diagnosis. …”
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Response Prediction and Experimental Validation of Vibration Noise in the Conveyor Trough of a Combine Harvester by Jianpeng Jing, Guangen Yan, Zhong Tang, Shuren Chen, Runzhi Liang, Yuxuan Chen, Xiaoying He

“…Results indicate that transmitted noise dominates over structural radiation in energy contribution, highlighting it as the primary noise path. This work offers a validated prediction model and supports noise control design for combine harvester conveying troughs.…”
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Enhancing Sustainable IoT Systems Through a Goal-Oriented Requirements Analysis Framework by José Alfonso Aguilar-Calderón, Carolina Tripp-Barba, Aníbal Zaldívar-Colado, Pedro Alfonso Aguilar-Calderón, Pablo Alfonso Aguilar-Calderón

“…Furthermore, an empirical evaluation was conducted in a simulated IoT environment, measuring key metrics such as energy consumption, latency, and code-generation error rate. A comparative analysis with existing RE and MDD approaches is also presented to highlight GORA’s advantages in feature coverage, sustainability support, and automation level. …”
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A comprehensive evaluation of oversampling techniques for enhancing text classification performance by Salimkan Fatma Taskiran, Bahaeddin Turkoglu, Ersin Kaya, Tunc Asuroglu

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Circular q-rung orthopair fuzzy modeling using Schweizer-Sklar weighted aggregation for water purification strategy selection by Jawad Ali, Ahmad N. Al-Kenani, Ioan-Lucian Popa

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Sentiment Analysis from Face Expressions Based on Image Processing Using Deep Learning Methods by Orhan Emre Aksoy, Selda Güney

“…In this study, the classification study of human facial expressions in real-time images is discussed. Implementing this work in software have some benefits for us. For example, analysis of mood in group photos is an interesting instance in this regard. …”
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Building a modern data platform based on the data lakehouse architecture and cloud-native ecosystem by Ahmed AbouZaid, Peter J. Barclay, Christos Chrysoulas, Nikolaos Pitropakis

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Inaugural Editorial by Walid Saad

“…I am delighted to introduce the inaugural volume of the IEEE Transactions on Machine Learning in Communications and Networking (TMLCN), which is an interdisciplinary journal supported by the IEEE Communications Society, the IEEE Signal Processing Society, the IEEE Vehicular Technology Society, and the IEEE Computer Society. …”
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Saliency Detection Using Sparse and Nonlinear Feature Representation by Shahzad Anwar, Qingjie Zhao, Muhammad Farhan Manzoor, Saqib Ishaq Khan

“…An important aspect of visual saliency detection is how features that form an input image are represented. A popular theory supports sparse feature representation, an image being represented with a basis dictionary having sparse weighting coefficient. …”
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Rotor dynamics of turbocompressor based on the finite element analysis and parameter identification approach by Verbovyi A., Khomenko V., Neamtu C., Pavlenko V., Simonovskiy V., Pavlenko I.

“…For this purpose, numerical implementation of the authors’ computer program “Critical frequencies of the rotor” was developed based on the computer algebra system MathCAD. …”
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Biomarker Investigation Using Multiple Brain Measures from MRI Through Explainable Artificial Intelligence in Alzheimer’s Disease Classification by Davide Coluzzi, Valentina Bordin, Massimo W. Rivolta, Igor Fortel, Liang Zhan, Alex Leow, Giuseppe Baselli

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Optimizing Cervical Cancer Diagnosis with Feature Selection and Deep Learning by Łukasz Jeleń, Izabela Stankiewicz-Antosz, Maria Chosia, Michał Jeleń

“…These reduced feature sets were evaluated using several classifiers including support vector machines and compared with CNN-based approach, highlighting differences in accuracy and precision. …”
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Early detection of Alzheimer’s disease in structural and functional MRI by Rudrani Maity, Vellupillai Mariappan Raja Sankari, Umapathy Snekhalatha, Umapathy Snekhalatha, Shubashini Velu, Tahani Jaser Alahmadi, Zaid Ali Alhababi, Hend Khalid Alkahtani

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Polarimetric Identification of 3D-Printed Nano Particle Encoded Optical Codes by Kavan Ahmadi, Pedro Latorre-Carmona, Bahram Javidi, Artur Carnicer

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Genetic algorithm for parameter optimization of supercapacitor model. by Filipe Menezes, Sérgio Cunha, William Assis, Allan Manito, Reinaldo Leite, Thiago Soares, Hugo Lott

“…The present work aims to estimate optimally some parameters of an electrical circuit model of a supercapacitor, in such a way as to obtain responses with very low errors and, thus, be able to use this computational electrical modeling for the development of a Digital Twin system. …”
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