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[null,"1.","Record Nr.",null,"UNINA9911021145803321"]
[null,null,"Autore",null,"Mohamad Yasin Mohamad Rusydi"]
[null,null,"Titolo",null,"Proceedings of the 7th Asia Pacific Conference on Manufacturing Systems and 6th International Manufacturing Engineering Conference - Volume 2 : iMEC-APCOMS 2024, Melaka, Malaysia / / edited by Mohamad Rusydi Mohamad Yasin, Zulhelmi Ismail, Cucuk Nur Rosyidi, Mohammad Osman Tokhi"]
[null,null,"Pubbl/distr/stampa",null,"Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2025"]
[null,null,"ISBN",null,"981-9656-90-7"]
[null,null,"Edizione",null,"[1st ed. 2025.]"]
[null,null,"Descrizione fisica",null,"1 online resource (608 pages)"]
[null,null,"Collana",null,"Lecture Notes in Mechanical Engineering, , 2195-4364"]
[null,null,"Disciplina",null,"670.42"]
[null,null,"Soggetti",null,"Manufactures"]
[{"$nulls":4},"Automatic control"]
[{"$nulls":4},"Robotics"]
[{"$nulls":4},"Automation"]
[{"$nulls":4},"Materials"]
[{"$nulls":4},"Machines, Tools, Processes"]
[{"$nulls":4},"Control, Robotics, Automation"]
[{"$nulls":4},"Materials Engineering"]
[null,null,"Lingua di pubblicazione",null,"Inglese"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,null,"Nota di contenuto",null,"Air Quality Prediction Using Deep Learning Approaches -- Utilizing Accelerometer Data and LSTM Model for Road Surface Detection -- Air Passenger Forecasting: Leveraging the Power of Autoregressive Models -- Performance Of Machine Learning For Predicting Load-Carrying Capacity Of Nonlinear Steel Trusses -- Evaluating Regression And Classification Surrogate Models For Sizing Optimization Of Nonlinear Steel Trusses -- Fuzzy Structural Analysis using Rao-kNNC-based Approach -- Multi-objective optimization of I-shaped steel plate girders using NSGA-II -- Using Classification and ANN Model to Predict Slump and Compressive Strength of Normal and High-Early Strength Concrete: A Study at a Concrete Batching Plant in Binh Thuan, Vietnam -- Etc..."]
[null,null,null,"Sommario/riassunto","This book showcases the 7th Asia-Pacific Conference on Manufacturing System and 6th International Manufacturing Engineering Conference (iMEC-APCOMS 2024) proceedings. It emphasizes the UN Sustainable "]
[{"$nulls":4},"Development Goals in recent developments and significant challenges in manufacturing industry, along with the emergence of intelligent manufacturing engineering and technology, which are critical for adopting Industry 4.0. The book discusses both traditional and advanced approaches used in various intelligent manufacturing applications. Readers can expect to gain a comprehensive understanding of current trends, challenges, solutions, and mitigating factors from this publication."]