Table of Contents, vol 17, no 1&2, year 2025
                    pages: 1 - 18
                      Integrating and Analysing Occupational Health Data Using a Multi-Ontology Approach
                      Cassandra Barbey, INRS, Univ Rennes, Inserm, EHESP, Irset- UMR_S 1085, France
                      Malika Smail-Tabbone, Université de Lorraine, CNRS, LORIA, UMR 7503, France
                      Nathalie Bonvallot, Univ Rennes, Inserm, EHESP, Irset - UMR_S 1085, France
                    Frédéric Clerc, INRS, France
                    pages: 19 - 30
                        Detection   of Changes in Lateral Weight Shift During Gait Improvement of Patients   via Image Analysis of Frontal-Direction Imaging Using MediaPipe
                      Yasutaka Uchida, Teikyo University of Science, Japan
                      Tomoko Funayama, Teikyo University of Science, Japan
                      Eiichi Ohkubo, Teikyo University of Science, Japan
                      Daisuke Souma, Isogo Central Hospital, Japan
                      Yasunori Fujimori, Seirei Yokohama Hospital, Japan
                      Yoshiaki Kogure, Teikyo University of Science, Japan
                    pages: 31 - 40
                        Integrating   Multiple Intelligences and I-TRIZ A Framework for Developing   Individualized Problem-Solving Skills in Vocational Training
                      Norikatsu Fujita, The Polytecnic University of Japan, Japan
                      Sho Aoki, Shikoku Polytecnic College, Japan
                    pages: 41 - 55
                        LightGleason: A Lightweight CNN-Attention Hybrid for Real-Time Prostate Cancer Grading in Digital Pathology
                      Anil Gavade, Dept., of Electronics and Communication Engineering KLS Gogte Institute of Technology, Belagavi-590008, India
                      Rajendra Nerli, Dept., of Urology, D. Y. Patil Medical College, Kolhapur, India, India
                      Shridhar Ghagane, KAHER'S Dr. Prabhakar Kore Basic Science Research Center, JNMC Campus, Belagavi-590010, India
                      Les Sztandera, Dept., Computer Information Systems, Thomas Jefferson University, Philadelphia, PA 19107, USA
                    pages: 56 - 66
                        Machine   and Deep Learning for Patient-Specific Quality Assurance in Intensity    Modulated Radiotherapy Using Log Files: Current Techniques and Emerging   Directions
                      Kellin De Jesus, Thomas Jefferson University, United States
                      Leon Dunn, Genesis Care, Australia
                      David Thomas, Thomas Jefferson University, United States
                      Les Sztandera, Thomas Jefferson University, United States
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