A comparative analysis of variants of machine learning and time series models in predicting women’s participation in the labor force by Rasha Elstohy, Nevein Aneis, Eman Mounir Ali

Get full text

Improving the Performance of Electrotactile Brain–Computer Interface Using Machine Learning Methods on Multi-Channel Features of Somatosensory Event-Related Potentials by Marija Novičić, Olivera Djordjević, Vera Miler-Jerković, Ljubica Konstantinović, Andrej M. Savić

“…We systematically tested classification performance using machine learning algorithms, including logistic regression, k-nearest neighbors, support vector machines, random forests, and artificial neural networks. …”
Get full text

Hybrid pre trained model based feature extraction for enhanced indoor scene classification in federated learning environments by Monica Dutta, Deepali Gupta, Vikas Khullar, Sapna Juneja, Roobaea Alroobaea, Pooja Sapra

“…Primitive classification methods like Support Vector Machines (SVM) and K-Nearest Neighbors (KNN), provide a compromised performance with complex indoor environments due to light variations, intra-class similarities, and occlusions. …”
Get full text

Interface design and interaction optimization for spatial computing 3D content creation and immersive environment generation using Apple Vision Pro by Jie Fu, Mick Grierson, Renpeng Jiang, Shun Fu, Mengzhi He, Muhan Xu

“…Through multimodal interaction design utilizing Vision Pro's spatial computing capabilities, creators can manipulate virtual artifacts through natural gestures and gaze, supporting the fluid iteration cycles characteristic of established design thinking frameworks. …”
Get full text

Comparative evaluation of deep learning and machine learning techniques for sentiment analysis of electronic product review data by Nagelli Archana, Saleena B., Prakash B.

Get full text

Fractional-Order System Identification: Efficient Reduced-Order Modeling with Particle Swarm Optimization and AI-Based Algorithms for Edge Computing Applications by Ignacio Fidalgo Astorquia, Nerea Gómez-Larrakoetxea, Juan J. Gude, Iker Pastor

“…While PSO achieves slightly lower error metrics, its iterative nature leads to higher and more variable computation times compared to the deterministic and rapid inference of AI approaches. …”
Get full text

Impact of medical school on quality of life and mental health in Brazil: a cross-sectional comparative study by Marina Silveira de Resende, Isabelle Martins Santos, Eduardo Cardoso de Moura, Renata de Almeida Pedro, Marcelo Gobbo

“…To address these challenges, this study investigates the specific impact of medical education on students’ mental health and QoL, aiming to identify potential structural changes that could mitigate these negative outcomes.Design A cross-sectional study was conducted in private higher education institutions in Brazil.Setting Data were collected online via the QuestionPro platform in August 2024, encompassing 32 units located across 14 states and 4 geographic regions in Brazil.Participants The sample included 10 844 students, 33.7% of whom were enrolled in medicine and 66.3% in other fields (administration, agronomy, agribusiness, systems analysis and development, architecture, architecture and urbanism, biomedicine, computer science, accounting, economics, social communication/advertising and propaganda, law, physical education, nursing, civil engineering, computer engineering, production engineering, electrical engineering, mechatronics engineering, aesthetics and cosmics, pharmacy, physics, physiotherapy, speech, speech therapy, environmental management, commercial management, human resources management, financial management, history, Portuguese-English literature, logistics, marketing, mathematics, veterinary medicine, nutrition, dentistry, pedagogy, management processes, psychology, advertising and propaganda, computer networks, social work, information systems and theology). …”
Get full text

Enhanced lightweight infrared object detection algorithm for assistive navigation in visually impaired individuals by Zhimin Bai, Yang Yang, Jian Wang, Zhengyang Li, Jiajun Wang, Chunxin Liu

Get full text

Optimizing Rotary Cement Kiln modelling: A comparative analysis of metaheuristics in a real-world application by Miguel Ángel Castán-Lascorz, Antonio Alcaide-Moreno, Jorge Arroyo

Get full text

Discovery of CMNPD31124 as a novel marine-derived PKMYT1 inhibitor for pancreatic ductal adenocarcinoma therapy: computational and biological insights by Chaojie Huang, Ting Wang, Rui Chen, Yunyun Xu

“…Despite these promising results, toxicity predictions indicate potential hepatotoxicity and neurotoxicity, highlighting the need for further structural optimization. This work lays a solid foundation for the rational design of PKMYT1 inhibitors by integrating computational methods with insights from marine natural products.…”
Get full text

Evaluating the Impact of Feature Engineering in Phishing URL Detection: A Comparative Study of URL, HTML, and Derived Features by Yanche Ari Kustiawan, Khairil Imran Ghauth

Get full text

SGA-Driven feature selection and random forest classification for enhanced breast cancer diagnosis: A comparative study by Abrar Yaqoob, Navneet Kumar Verma, Mushtaq Ahmad Mir, Ghanshyam G. Tejani, Nashwa Hassan Babiker Eisa, Hind Mamoun Hussien Osman, Mohd Asif Shah

“…To evaluate the effectiveness of the proposed method, we compared it with other classifiers, including Linear Regression (LR), Support Vector Machine (SVM), and K-Nearest Neighbors (KNN). …”
Get full text

Improving health-promoting workplaces through interdisciplinary approaches. The example of WISEWORK-C, a cluster of five work and health projects within Horizon-Europe by Deborah De Moortel, Michelle C Turner, Ella Arensman, Alex Binh Vinh Duc Nguyen, Víctor Gonzalez

“…The impact of COVID-19-related work stress on the mental health of primary healthcare workers: the mediating effects of social support and resilience. …”
Get full text

High-Speed All-Optical Encoder and Comparator at 120 Gb/s Using a Carrier Reservoir Semiconductor Optical Amplifier by Amer Kotb, Kyriakos E. Zoiros

“…All-optical encoders and comparators are essential components for high-speed optical computing, enabling ultra-fast data processing with minimal latency and low power consumption. …”
Get full text

A Novel LSTM Architecture for Automatic Modulation Recognition: Comparative Analysis With Conventional Machine Learning and RNN-Based Approaches by Sam Ansari, Soliman Mahmoud, Sohaib Majzoub, Eqab Almajali, Anwar Jarndal, Talal Bonny

Get full text

Advanced Computational Methods for Mitigating Shock and Vibration Hazards in Deep Mines Gas Outburst Prediction Using SVM Optimized by Grey Relational Analysis and APSO Algorithm by Xiang Wu, Zhen Yang, Dongdong Wu

Get full text

REENGINEERING OF OPEN SOFTWARE SYSTEM OF 3D MODELING BRL-CAD by Stanislav Velykodniy

“…Computer Graphics is an up-to-date industry in the design and application of rapidly evolving computing systems. …”
Get full text

Evolutionary Cost Analysis and Computational Intelligence for Energy Efficiency in Internet of Things-Enabled Smart Cities: Multi-Sensor Data Fusion and Resilience to Link and Devi... by Khalid A. Darabkh, Muna Al-Akhras

Get full text

Detailed Transfer Line Beam Characteristics at an Operational Proton Therapy Center [version 2; peer review: 2 approved] by George H. Gillespie, Joshua Konzer

“…The work resulted in an improved understanding of the beams and beam transfer lines to support further beamline optimization and design activities. …”
Get full text

Presenting an Innovative Method Based on Ensemble Learning for a Credit Approval System by Eshonkulov Uchkun, Elmurodov Tulkin, Ravshanov Zavqiddin, Каramanov Asqar

“…The findings of the suggested methodology are compared with those of several methodologies, including Random Forest (RF), Gaussian Kernel (GK), Support Vector Machines (SVM), Adaptive Boosting (AdaBoost), and Multi-Layer Perceptron (MLP). …”
Get full text