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Sliding Mode Controller Design With Optimized PID Sliding Surface Using Particle Swarm Algorithm by Chong, Chee Soon, Ghazali, Rozaimi, Jaafar, Hazriq Izzuan, Syed Hussien, Sharifah Yuslinda

“…This article deals with an evaluation on the designed controller named as sliding mode control (SMC) which sliding surface of the controller has been integrated with proportional-integral-derivative (PID) controller. …”
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Optimization of surface quality of mild steel machined by wire EDM using simulated annealing algorithm by Khan, Ahsan Ali, Al Hazza, Muataz Hazza Faizi, Che Daud, Mohd Radzi, Mohamad Kamal, Nor Shahirah

“…One of the main machining characteristics that play vital role in determining the quality of engineering components is surface integrity. The fatigue strength, corrosion and wear resistance is enhanced by good quality surfaces of the work piece. …”
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Cutting temperature and surface roughness optimization in CNC end milling using multi objective genetic algorithm by Al Hazza, Muataz, Adesta, Erry Yulian Triblas, Superianto, M. Y., Riza, Muhammad

“…Machining of hard materials at high cutting speeds produces high temperatures in the cutting zone, which affects the surface quality. Thus, developing a model for estimating the cutting parameters and optimizing this model to minimize the cutting temperatures and surface roughness becomes utmost important to avoid any damage to the quality surface.This paper presents the development of new models and optimizing these models of machining parameters to minimize the cutting temperature in end milling process by integrating the genetic algorithm (GA) with the statistical approach. …”
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Concrete surface inspection by using unmanned aerial vehicle (UAV) and deep learning algorithms YOLOv7 / Saffa Nasuha Rusdinadi by Rusdinadi, Saffa Nasuha

“…This research contributes to the field of automated infrastructure inspection by integrating Uav technology with advanced deep learning algorithms, presenting a novel approach that reduces manual effort and enhances the accuracy of concrete surface assessments. …”
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Concrete surface inspection by using Unmanned Aerial Vehicle (UAVs) and deep learning algorithms Yolov7 by Rusdinaidi, Saffa Nasuha, Hashim, Khairil Afendy, Ahmad Dahlan, Zaki

“…This research contributes to the field of automated infrastructure inspection by integrating Uav technology with advanced deep learning algorithms, presenting a novel approach that reduces manual effort and enhances the accuracy of concrete surface assessments. …”
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Optimisation of surface roughness when CNC Turning of Al-6061: Application of Taguchi Design of experiments and genetic algorithm / Boppana V. Chowdary...[et al.] by V. Chowdary, Boppana, Jahoor,, Riaz, Ali,, Fahraz, Trishel, Gokool

“…Surface roughness is often used as a measure to identify surface integrity of machined parts. …”
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Surface roughness optimization in end milling using the multi objective genetic algorithm approach by Al Hazza, Muataz Hazza Faizi, Adesta, Erry Yulian Triblas, Riza, Muhammad, Mohammad Yuhan, Suprianto

“…This paper presents the optimization of machining parameters in end milling processes by integrating the genetic algorithm (GA) with the statistical approach. …”
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Cutting Parameters Optimization of Mild Steel via AIS Heuristics Algorithm by Minhat, Mohamad, Abd Rahman, Md Nizam, Abbas, Adnan Jameel

“…Heat generated in cutting zone area is an important factor affects on work piece and cutting tool properties. The surface finish quality specifies the product success and integrity. …”
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MINIATURE SURFACE TRACING DEVICE FOR SURGICAL GUIDANCE AND NAVIGATION by MOHD YUSOFF, MUHAMMAD AIZAT

“…These sensors will help the system to trace the movement during 3D surface mapping process. The positioning algorithm is being applied in order to obtain the displacement and angle of an object for each axis. …”
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Land Cover Mapping in Jeli Using Selected Classification Algorithms by Syaza Sholimin

“…Land cover describes the landscape of Earth surface include either series types of vegetation,naturally or planted,or even man-made constructions on land surface.Land cover whether like urban,bare soil, vegetation, water, or others is necessarily to be described on it presence. f o determine the existence of land cover at area,integration remote sensing and Geographical Information System (GIS) could he used- though the fact that Jeli land cover might filled with forest,but still there are lots more different 13„c, of land cover which covered the land surface of Jell. …”
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A design of machine vision system for the automatic surface profiling measurement using shadow moire technique / Lim Teong Yeong, Lim Juinn Hsuh and Muhamad Othman. by Lim, Teong Yeong, Lim, Juinn Hsuh, Othman, Muhamad

“…In this research the surface profiling measurement using the shadow moire technique with phase-shifting algorithms has been implemented. …”
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Stereo matching algorithm for autonomous vehicle navigation using integrated matching cost and non-local aggregation by Zahari, Madiha, Hamzah, Rostam Affendi, Abd Manap, Nurulfajar, Herman, Adi Irwan

“…However, the accuracy of the matching algorithm is a challenging part to be solved since it is directly affected by the surrounding environment such as different brightness, less texture surface, and different image pair exposure. …”
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Development of mesoscopic imaging system for surface inspection / Moe Win by Moe , Win

“…One of the main objectives of this is to develop and build a mesoscopic imaging system that can be used practically as an analytical tool for surface inspections. In particular, the focus is on the development of high-resolution images acquisition and advanced image processing algorithms which could be integrated with the surface inspection and diagnostic system. …”
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Intelligent segmentation of fruit images using an integrated thresholding and adaptive K-means method (TSNKM) by Hambali, Hamirul ’Aini, Syed Abdullah, Sharifah Lailee, Jamil, Nursuriati, Harun, Hazaruddin

“…Currently, there are several segmentation techniques which have been used in object identification such as thresholding and clustering techniques.However, the conventional techniques have difficulties in segmenting fruit images which captured under natural illumination due to the existence of non-uniform illumination on the object surface.The presence of different illuminations influences the appearance of the interest objects and thus misleads the object analysis.Therefore, this research has produced an innovative segmentation algorithm for fruit images which is able to increase the segmentation accuracy.The developed algorithm is an integration of modified thresholding and adaptive K-means method.The integration of both methods is required to increase the segmentation accuracy for fruits images with different surface colour.The results showed that the innovative method is able to segment the fruits images with high accuracy value.…”
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Parallel computation of maass cusp forms using mathematica by Chan, Kar Tim

“…To facilitate the complete pullback process of this group, a point locater algorithm is developed. In this work, we present three different pullback algorithms for the surfaces we considered and carefully integrate them into our Maass cusp form algorithm. …”
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Development of an artificial neural network algorithm for predicting the surface roughness in end milling of inconel 718 alloy by Hossain, Mohammad Ishtiyaq, Amin, A. K. M. Nurul, Patwari, Anayet Ullah

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Facial features point localization using modified SIFT scale space / Zulfikri Paidi by Paidi, Zulfikri

“…This study aimed to develop a new algorithm in the form of hybrids when the scaling technique in SIFT was integrated with another technique. …”
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Improved black-winged kite algorithm and finite element analysis for robot parallel gripper design by Haohao, Ma, As’arry, Azizan, Yanwei, Feng, Lulu, Cheng, Delgoshaei, Aidin, Ismail, Mohd Idris Shah, Ramli, Hafiz Rashidi

“…This paper presents a comprehensive study on the design optimization of a robotic gripper, focusing on both the gripper modeling and the optimization of its parallel mechanism structure. This study integrates the Black-winged Kite Algorithm (BKA), Finite Element Analysis (FEA), Backpropagation Neural Network (BPNN), and response surface optimization techniques. …”
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Integrated multichannel Young’s interferometer sensor based on long-range surface plasmon waveguides by Wong, Wei Ru, Berini, Pierre

“…Two integrated Young's interferometer (YI) sensors based on long-range surface plasmon polariton (LRSPP) waveguides are presented. …”
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3D bathymetry reconstruction from airborne topsar polarized data by Marghany, Maged, Hashim, Mazlan, Cracknell, Arthur P.

“…Volterra algorithm is used to simulate the ocean surface current from TOPSAR data. …”
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