Aim & Scope
Integrated Computer-Aided Engineering was founded in 1993."Based on the premise that interdisciplinary thinking and synergistic collaboration of disciplines can solve complex problems, open new frontiers, and lead to true innovations and breakthroughs, the cornerstone of industrial competitiveness and advancement of the society" as noted in the inaugural issue of the journal. The focus of ICAE is the integration of leading edge and emerging computer and information technologies for innovative solution of engineering problems. The journal fosters interdisciplinary research and presents a unique forum for innovative computer-aided engineering. It also publishes novel industrial applications of CAE, thus helping to bring new computational paradigms from research labs and classrooms to reality. Areas covered by the journal include (but not limited to) artificial intelligence, advanced signal processing, biologically inspired computing, cognitive modeling, concurrent engineering, database management, distributed computing, evolutionary computing, fuzzy logic, genetic algorithms, geometric modeling, intelligent and adaptive systems, internet-based technologies, knowledge discovery and engineering, machine learning, mechatronics, mobile computing, multimedia technologies, networking, neural network computing, object-oriented systems, optimization and search, parallel processing, robotics virtual reality, and visualization techniques. [1]
2024
Multi-label classification with imbalanced classes by fuzzy deep neural networks
F Succetti , A Rosato , M Panella
Integrated Computer-Aided Engineering , 2024 , pp 1-14.
Effectiveness of deep learning techniques in TV programs classification: A comparative analysis
F Candela , A Giordano , C Zagaria , F Morabito
Integrated Computer-Aided Engineering , 2024 , pp 1-15.
A spatio-temporal fusion deep learning network with application to lightning nowcasting
Integrated Computer-Aided Engineering , 2024 , pp 1-15.
X Wan , H Pu , P Schonfeld , ... , L Peng
Integrated Computer-Aided Engineering , 2024 , pp 1-17.
A weakly supervised active learning framework for non-intrusive load monitoring
G Tanoni , T Sobot , E Principi , ... , S Squartini
Integrated Computer-Aided Engineering , 2024 , pp 1-18.
J Grosset , A Fougères , M Djoko-Kouam , J Bonnin
Integrated Computer-Aided Engineering , 2024 , pp 1-18.
Prediction of thrust bearing’s performance in Mixed Lubrication regime
Integrated Computer-Aided Engineering , 2024 , pp 1-19.
An advanced multimodal driver-assistance prototype for emergency-vehicle detection
L Gabrielli , L Migliorelli , M Cantarini , ... , S Squartini
Integrated Computer-Aided Engineering , 2024 , pp 1-19.
Editorial Retractions, Expressions of Concern and External Notices
Surface modeling using multi-view range and color images
Y Sun , J Paik , A Koschan , M Abidi
Integrated Computer-Aided Engineering2003 - VOLUME 10, ISSUE 1 pp 37-50.
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