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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Assessment of the Correspondence Between User Needs and Classroom Design Criteria for Pre-Schoolers with Autism Spectrum Disorder in Turkey by ABDALLAH Luqmaan Fihri, ERÇİN Çilen

“…The study recommends enhancing classroom design by increasing group work areas, providing quiet spaces and cloakrooms, incorporating visual cues, improving acoustics, optimizing natural lighting, increasing access to outdoor play areas, and providing financial support for necessary tools like computers. …”
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SCGAN-enhanced surrogate modeling for FEM analysis of induction motors: A practical use case by Unai Salaberria-Flaño, Antonio Nappa, Arkaitz Artetxe, Gurutz Artetxe, Iñaki Inza

“…The study, supported by a systematic comparison of different low-fidelity information extraction steps and a detailed feature relevance analysis, represents a step forward in the field of surrogate modeling for induction motor characterization. …”
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Advances in ECG and PCG-based cardiovascular disease classification: a review of deep learning and machine learning methods by Asmaa Ameen, Ibrahim Eldesouky Fattoh, Tarek Abd El-Hafeez, Kareem Ahmed

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mindLAMPVis as a Co-Designed Clinician-Facing Data Visualization Portal to Integrate Clinical Observations From Digital Phenotyping in Schizophrenia: User-Centered Design Process a... by Karthik Sama, Jaya Sreevalsan-Nair, Soumya Choudhary, Srilakshmi Nagendra, Preethi V Reddy, Asher Cohen, Urvakhsh Meherwan Mehta, John Torous

“…The app is designed to visualize derivatives of both active and passive data of patients with schizophrenia to support the research contexts of digital psychiatry clinics in India. …”
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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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THE COLLABORATIVE DESIGNING OF A PERSONALIZED HYBRID LMS USING A VIRTUAL MACHINE IN A CLOUD ENVIRONMENT by Lina Čeponienė, Péter Galambos, Tamás Haidegger, Dariusz Mikulowski, Branislav Mišota, Oliver Moravcik, Enikő Nagy, Mariya P. Shyshkina, Pavel Smolka, Stefan Svetsky

“…The authors offer their own approach to solving the problem of processing educational information to support a virtual team's work. As part of collaborative research in the field of technology-enhanced education and e-Learning design, the international team in the V4 EDUPORT project is implementing a personalized hybrid system on the IT infrastructure consisting of a specially designed desktop application WPad or web application (PIKS) and a common shared remote computer (virtual computer on a cloud server with Windows 2022). …”
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Adaptive Defense: Zero-Day Attack Detection in NIDS With Deep Reinforcement Learning by Khorshed Alam, Md Fahad Monir, Md Junayed Hossain, Mohammad Shorif Uddin, Md. Tarek Habib

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Remote sensing image interpretation of geological lithology via a sensitive feature self-aggregation deep fusion network by Kang He, Jie Dong, Haozheng Ma, Yujie Cai, Ruyi Feng, Yusen Dong, Lizhe Wang

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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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Green environmental management system and environmental performance: Results from PLS-SEM and fsQCA by Abdalwali Lutfi, Ahmad Al-Hiyari, Ibrahim A. Elshaer, Mahmaod Alrawad, Mohammed Amin Almaiah

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Meta-Ensemble Learning for Heart Disease Prediction: A Stacking-Based Approach With Explainable AI by Mehwish Naz, Aqsa Khalid, Abdul Hameed, Rabia Taj, Waleed Mumtaz, Faiz Abdullah Alotaibi, Mrim M. Alnfiai

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Detrended Fluctuation Analysis of Gait Cycles: A Study of Neuromuscular and Ground Force Dynamics by Soumya Prakash Rana, Maitreyee Dey

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An Empirical Study of Different Approaches for Protein Classification by Loris Nanni, Alessandra Lumini, Sheryl Brahnam

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LLM-Based Response Generation for Korean Adolescents: A Study Using the NAVER Knowledge iN Q&A Dataset with RAG by Junseo Kim, Seok Jun Kim, Junseok Ahn, Suehyun Lee

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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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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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Early Detection Tool for Bladder Cancer Based on Quantum Dots Fluorescence Integrated with Fuzzy Logic Classification Application Programming Interface by Krisna Seiya Ekiawan, Evan Manuel Tan, Levina Nasywa Faustin, Verousson Ahmad, Ajeng Lintang Kinasih Suroso, Taufiq Nur Budaya, Nurussa’adah Nurussa’adah

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Real-Time Gas Path Fault Diagnosis for Aeroengines Based on Enhanced State-Space Modeling and State Tracking by Siyan Cao, Hongfu Zuo, Xincan Zhao, Chunyi Xia

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Experimental study of the deformed state of metal structures of load trolleys of overhead cranes with a multipurpose layout drawing by Denisov I.A.

“…An assessment was made of the influence of the type of applied connections of load-bearing elements on the features of the resulting deformed state of the metal structure. A comparative analysis of experimental data and calculated values of vertical displacements of points of metal structures obtained as a result of computer simulation of the formed state using various finite element models is performed.…”
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