LEADER 03728nam 22006615 450 001 9911021145803321 005 20250812124742.0 010 $a981-9656-90-7 024 7 $a10.1007/978-981-96-5690-5 035 $a(CKB)40259205800041 035 $a(MiAaPQ)EBC32261163 035 $a(Au-PeEL)EBL32261163 035 $a(DE-He213)978-981-96-5690-5 035 $a(OCoLC)1532832381 035 $a(EXLCZ)9940259205800041 100 $a20250812d2025 u| 0 101 0 $aeng 135 $aur||||||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aProceedings of the 7th Asia Pacific Conference on Manufacturing Systems and 6th International Manufacturing Engineering Conference - Volume 2 $eiMEC-APCOMS 2024, Melaka, Malaysia /$fedited by Mohamad Rusydi Mohamad Yasin, Zulhelmi Ismail, Cucuk Nur Rosyidi, Mohammad Osman Tokhi 205 $a1st ed. 2025. 210 1$aSingapore :$cSpringer Nature Singapore :$cImprint: Springer,$d2025. 215 $a1 online resource (608 pages) 225 1 $aLecture Notes in Mechanical Engineering,$x2195-4364 311 08$a981-9656-89-3 327 $aAir 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... 330 $aThis book showcases the 7th Asia-Pacific Conference on Manufacturing System and 6th International Manufacturing Engineering Conference (iMEC-APCOMS 2024) proceedings. It emphasizes the UN Sustainable Development Goals in recent developments and significant challenges in manufacturing industry, along with the emergence of intelligent manufacturing engineering and technology, which are critical for adopting Industry 4.0. The book discusses both traditional and advanced approaches used in various intelligent manufacturing applications. Readers can expect to gain a comprehensive understanding of current trends, challenges, solutions, and mitigating factors from this publication. 410 0$aLecture Notes in Mechanical Engineering,$x2195-4364 606 $aManufactures 606 $aAutomatic control 606 $aRobotics 606 $aAutomation 606 $aMaterials 606 $aMachines, Tools, Processes 606 $aControl, Robotics, Automation 606 $aMaterials Engineering 615 0$aManufactures. 615 0$aAutomatic control. 615 0$aRobotics. 615 0$aAutomation. 615 0$aMaterials. 615 14$aMachines, Tools, Processes. 615 24$aControl, Robotics, Automation. 615 24$aMaterials Engineering. 676 $a670.42 700 $aMohamad Yasin$b Mohamad Rusydi$01254591 701 $aIsmail$b Zulhelmi$01733672 701 $aRosyidi$b Cucuk Nur$01429732 701 $aTokhi$b Mohammad Osman$01586369 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9911021145803321 996 $aProceedings of the 7th Asia Pacific Conference on Manufacturing Systems and 6th International Manufacturing Engineering Conference - Volume 2$94427138 997 $aUNINA