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). …”
Get full text

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

Get full text

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

Get full text

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

Get full text

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

Get full text

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

Get full text

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

Get full text

Laser sintering of silver-palladium ink for on-demand manufacturing of electronics for space applications by Ellie Schlake, Sagar Kumar Verma, Nirmala Kandadai

Get full text

Intelligent Priority-Aware Spectrum Access in 5G Vehicular IoT: A Reinforcement Learning Approach by Adeel Iqbal, Tahir Khurshaid, Yazdan Ahmad Qadri

Get full text

A review: Multi-Objective Algorithm for Community Detection in Complex Social Networks by Mariwan Wahid Ahmed, Kamaran Faraj

“…Which are analyzed by 15 different approaches in order to choose from works published during the period 2019–2024. These strengths and limitations of various MOAs are reviewed with a comparative analysis to provide insights into both the effectiveness and computational efficiency of these methods. …”
Get full text

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. …”
Get full text

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. …”
Get full text

A lightweight and explainable CNN model for empowering plant disease diagnosis by Chiranjit Pal, Swastik Karmakar, Imon Mukherjee, Partha Pratim Chakrabarti

“…The cross-domain validation rate (CDVR) is computed to assess its cross-domain adaptability, with the model showing competitive results compared to other pre-trained models. …”
Get full text

APPROACHES TO PERSONALIZED THERAPY by F. I. Belyalov

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

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.…”
Get full text

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. …”
Get full text

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. …”
Get full text

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. …”
Get full text

Molecular Docking of Endolysins for Studying Peptidoglycan Binding Mechanism by Arina G. Arakelian, Gennady N. Chuev, Timur V. Mamedov

“…As a result, the previously obtained experimental results on peptidoglycan binding of the isolated gamma phage endolysin PlyG enzymatically active domain were supported by molecular docking. Both methods predicted that single-domain endolysins are able to bind peptidoglycan, with Autodock Vina being able to give accurate numerical estimates of protein–ligand affinities and 3D-RISM providing comparative values.…”
Get full text

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. …”
Get full text