Smart Insole-Based Plantar Pressure Analysis for Healthy and Diabetic Feet Classification: Statistical vs. Machine Learning Approaches by Dipak Kumar Agrawal, Watcharin Jongpinit, Soodkhet Pojprapai, Wipawee Usaha, Pattra Wattanapan, Pornthep Tangkanjanavelukul, Timporn Vitoonpong

Get full text

Evolving Hybrid Deep Neural Network Models for End-to-End Inventory Ordering Decisions by Thais de Castro Moraes, Jiancheng Qin, Xue-Ming Yuan, Ek Peng Chew

Get full text

Many-Objective Cheetah Optimizer: A Novel Paradigm for Solving Complex Engineering Problems by Pinank Patel, Divya Adalja, Nikunj Mashru, Pradeep Jangir, Arpita, Reena Jangid, G. Gulothungan, Ahmad O. Hourani, Kaznah Alshammari

“…MaOCO represents the Many-Objective Cheetah Optimization Algorithm which draws its concepts from the hunting behavior of cheetahs. …”
Get full text

Exploring Multi-Pathology Brain Segmentation: From Volume-Based to Component-Based Deep Learning Analysis by Ioannis Stathopoulos, Roman Stoklasa, Maria Anthi Kouri, Georgios Velonakis, Efstratios Karavasilis, Efstathios Efstathopoulos, Luigi Serio

“…Detection and segmentation of brain abnormalities using Magnetic Resonance Imaging (MRI) is an important task that, nowadays, the role of AI algorithms as supporting tools is well established both at the research and clinical-production level. …”
Get full text

A novel global MPPT method based on sooty tern optimization for photovoltaic systems under complex partial shading by Mohammed Taha Kaaitan, Rashid Ali Fayadh, Zuhair S. AL-sagar, Salam J. Yaqoob, Mohit Bajaj, Mebratu Sintie Geremew

Get full text

Pilot observational cohort study to determine whether waveform and flow traces from mechanical insufflation–exsufflation (MI-E) can be used to identify laryngeal responses to MI-E... by Stephanie K Mansell, Swapna Mandal, Amar Shah, Francesca Gowing, Rhiannon Parry, Charlotte Greenfield, Yogesh Bhatt

Get full text

Using Grayscale Photos to Introduce High School Statistics Teachers to Reasoning with Digital Image Data by Anna Fergusson, Maxine Pfannkuch

“…Statistics teaching at the high school level needs modernizing to include digital sources of data that students interact with every day. Algorithmic modeling approaches are recommended, as they can support the teaching of data science and computational thinking. …”
Get full text

Neural Architecture Search for Generative Adversarial Networks: A Comprehensive Review and Critical Analysis by Abrar Alotaibi, Moataz Ahmed

“…The review highlights the benefits of NAS in improving GAN performance, stability, and efficiency, while also identifying limitations and areas for future research. Key findings include the superiority of evolutionary algorithms and gradient-based methods in certain contexts, the importance of robust evaluation metrics beyond traditional scores like Inception Score (IS) and Fréchet Inception Distance (FID), and the need for diverse datasets in assessing GAN performance. …”
Get full text

The Gender Pay Gap in the Platform Economy: Comparing the Importance of Market and Organisational Dynamics on Two German Crowdworking Platforms by Anja-Kristin Abendroth

Get full text

Recent Developments in Path Planning for Unmanned Ground Vehicles in Underground Mining Environment by Abdurauf Abdukodirov, Jörg Benndorf

“…This paper presents a thorough review of path-planning algorithms employed for the navigation of UGVs in underground mines. …”
Get full text

On the Implementation of a Transverse Wave-Based Routing Technique for a TSP Circular Instance by Lazaros S. Savvidis, Constandinos X. Mavromoustakis, George N. Mastorakis, Evangelos K. Markakis

“…This study introduces the Transverse Waves Algorithm (TWA), a novel heuristic approach devised to address the Travelling Salesperson Problem (TSP) within a unique instance. …”
Get full text

Mixed-Embeddings and Deep Learning Ensemble for DGA Classification With Limited Training Data by Christian Morbidoni, Alessandro Cucchiarelli, Luca Spalazzi

“…Recent papers in the cybersecurity research field of Domain Generation Algorithms (DGAs) detection show the increase of performances associated with the introduction of unsupervised neural vectorized representation of domain names in the supervised classification process. …”
Get full text

Redefining IoT networks for improving energy and memory efficiency through compressive sensing paradigm by S. Balamurali, M. Kathirvelu, SatheeshKumar Palanisamy, Ines Hilali Jaghdam

Get full text

Location, Location, Location: The Power of Neighborhoods for Apartment Price Predictions Based on Transaction Data by Christopher Kmen, Gerhard Navratil, Ioannis Giannopoulos

Get full text

Remote sensing application in compliment to in-situ monitoring of water quality: Lower Manyame Sub-catchment, Zimbabwe by Hardlife Muhoyi, Webster Gumindoga, Alexander Mhizha, Shepherd N. Misi, Ntandokamlimu Nondo

“…The research showed that marginal and inaccessible catchments could be monitored using existing empirical algorithms. …”
Get full text

Sustainable RCCI engine operation with an ANN based novel tri-fuel approach by P. V. Elumalai, Chin-Shiuh Shieh, M. Sreenivasa Reddy, S. Rama Sree, Shashikumar Krishnan

Get full text

Data-Driven Computational Methods in Fuel Combustion: A Review of Applications by Jacek Lukasz Wilk-Jakubowski, Lukasz Pawlik, Damian Frej, Grzegorz Wilk-Jakubowski

“…This review article provides a comprehensive analysis of the recent advancements in combustion science and engineering, focusing on the application of machine learning and genetic algorithms from 2015 to 2024. The study examines the integration of computational methods, including computational fluid dynamics, neural networks, and genetic algorithms, with various fuel types such as biodiesel, biomass, coal, gasoline, hydrogen, and natural gas. …”
Get full text

A Comprehensive System to Support Decision Making in Highly Complex Project Portfolio Situations by Efrain Solares, Eduardo Fernandez, Carlos A. Coello Coello, Xochitl Segura Lozano, Reimundo Moreno-Cepeda, Raymundo Diaz

Get full text

Development of a tertiary lymphoid structure-based prognostic model for breast cancer: integrating single-cell sequencing and machine learning to enhance patient outcomes by Xiaonan Zhang, Li Li, Xiaoyu Shi, Yunxia Zhao, Zhaogen Cai, Ni Ni, Di Yang, Zixin Meng, Xu Gao, Li Huang, Tao Wang

Get full text

Integrating Statistical and Earth <i>AgriData</i> in Small Farming Systems for Food Security by Theodore Tsiligiridis, Katerina Ainali

Get full text