Application of hyperthermia robots in Cyber-syndrome treatment by Xueyan YIN, Feifei SHI, Jinqiang WANG, Huansheng NING

“…It summarizes the structure and working principles of six types of thermotherapy robots (including four domestic robots and two foreign robots), and makes a comparative analysis from the aspects of hyperthermia types, positioning methods, advantages, and targeting Cyber-syndrome. …”
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Assessment of human emotional reactions to visual stimuli “deep-dreamed” by artificial neural networks by Agnieszka Marczak-Czajka, Timothy Redgrave, Mahsa Mitcheff, Michael Villano, Adam Czajka

“…Correlations between arousal and valence values and image visual properties (e.g., color, brightness, clutter feature congestion, and clutter sub-band entropy) as well as the position of the CNN's layers stimulated to obtain a given image were calculated.ResultsSynthesized images that maximized activations of some of the CNN layers led to significantly higher or lower arousal and valence levels compared to average subject's reactions. Multiple linear regression analysis found that a small set of selected image global visual features (hue, feature congestion, and sub-band entropy) are significant predictors of the measured arousal, however no statistically significant dependencies were found between image global visual features and the measured valence.ConclusionThis study demonstrates that the specific method of synthesizing images by maximizing small and precisely-selected parts of the CNN used in this work may lead to synthesis of visual stimuli that enhance or attenuate emotional reactions. …”
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Intelligent Priority-Aware Spectrum Access in 5G Vehicular IoT: A Reinforcement Learning Approach by Adeel Iqbal, Tahir Khurshaid, Yazdan Ahmad Qadri

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Few-Shot Learning With Prototypical Networks for Improved Memory Forensics by Muhammad Fahad Malik, Ammara Gul, Ayesha Saadia, Faeiz M. Alserhani

“…This approach achieves an average accuracy of 92% with eleven classes, the highest across all scenarios and comparable to previous work using machine and deep learning algorithms on this dataset.…”
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A Clinically Interpretable Approach for Early Detection of Autism Using Machine Learning With Explainable AI by Oishi Jyoti, Hafsa Binte Kibria, Zareen Tasnim Pear, Md Nahiduzzaman, Md. Faysal Ahamed, Khandaker Reajul Islam, Jaya Kumar, Muhammad E. H. Chowdhury

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New forms of bilateral inequalities for K-g-frames by Xiang Zhong-Qi

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A quantum machine learning framework for predicting drug sensitivity in multiple myeloma using proteomic data by M. Priyadharshini, B. Deevena Raju, A. Faritha Banu, P. Jagdish Kumar, V. Murugesh, Oleg Rybin

“…QProteoML was experimentally tested by comparing accuracy, F1 score and AUC ROC between classical machine learning models such as Support Vector Machine (SVM), Random Forest (RF), Logistic Regression (LR), and K-Nearest Neighbors (KNN). …”
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Features of municipal services digitalization in Iraq by Svetlana V. Panikarova, Saif S. M. AL-zuwaini

“…It was established that 60% of municipal bodies are equipped with modern computer systems, while only 40% have high-speed internet connectivity. …”
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THEORETICAL AND METHODOLOGICAL ASPECTS OF USING INFORMATION ANDCOGNITIVE TECHNOLOGIES IN THE TRAINING OF TRANSPORT SPECIALISTS by Lavrentieva Olena, Krupskyi Oleksandr

“…The following methods of semantic and comparative analysis, classification, generalization, and systematization, as well as competency-based, technological, and creative development approaches were used in the research. …”
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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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Design Methodology and Economic Impact of Small-Scale HAWT Systems for Urban Distributed Energy Generation by Marina Budanko, Zvonimir Guzović

“…Selecting optimal urban or suburban locations with favorable wind conditions opens the possibility of deploying HAWTs, leveraging their higher efficiency even at comparable wind speeds. This paper presents a methodology for designing highly efficient HAWTs for urban use, supported by computational fluid dynamics (CFD) analyses to produce power curves and evaluate the energy conversion efficiency of both bare and augmented turbine designs. …”
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Posterior Indirect Adhesive Restorations and Preparation Designs by Arife Doğan, Zeynep Söylemez

“…These restorations aim to restore lost dental tissues as a result of caries, erosion and/or abrasion and to support healthy tissues. Posterior indirect adhesive restorations have become more effective with the development of computer-aided design/computer-aided manufacturing (CAD/CAM) systems. …”
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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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Data Mining Techniques for Early Detection and Classification of Plant Diseases: An Optimization-Based Approach by Wagh Swapnil, Sharma Ruchi

“…Early diagnosis and efficient categorization of plant diseases are of utmost importance to support agricultural production and profitability. …”
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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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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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Application of machine learning techniques for churn prediction in the telecom business by Raji Krishna, D. Jayanthi, D.S. Shylu Sam, K. Kavitha, Naveen Kumar Maurya, T. Benil

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Latency and energy-efficient multi-hop routing protocol for unmanned aerial vehicle networks by Abdelhamied A Ateya, Ammar Muthanna, Irina Gudkova, Yuliya Gaidamaka, Abeer D Algarni

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IoT enabled health monitoring system using rider optimization algorithm and joint process estimation by J. Prabin Jose, G. Jaffino, Mohammed Al Awadh, Koppula Srinivas Rao, Yan Yafang, Krishna Moorthy Sivalingam

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APPROACHES TO PERSONALIZED THERAPY by F. I. Belyalov

“…This justifies the need for organizational solutions and computer programs for support personalized treatment of patients. …”
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