Kahlil Muchtar

41 papers A 2B 4C 2Journal 17Unranked 16

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Edge AI-Based Detection for Defective Coffee Beans Using Deep Learning and Streamlit Framework. IEEE Access Kahlil Muchtar, Yayang Hafifah, Alifya Febriana, Rahmad Dawood, Ahmadiar Ahmadiar, Al Bahri, Chih-Yang Lin, Ervin Yohannes
2025	J	`jnl`	Enhancing Face Recognition Model Performance Through HyperStyle-Driven Data Augmentation. Appl. Comput. Intell. Soft Comput. Muhammad Chaidir, Taufik Fuadi Abidin, Hizir Sofyan, Kahlil Muchtar
2025	C	`conf`	Evaluating the Impact of Data Cleaning for Improving Road Damage Detection Through Vision Transformer. ICCE Andy Desman, Kahlil Muchtar, Maulisa Oktiana, Maya Fitria, Yuwaldi Away, Fardian Fardian, Hammam Riza
2025	B	`conf`	Implementation of Edge AI for Web-Based Atopic Dermatitis Skin Disease Classification Using Streamlit. AVSS Alya Irzan Ramadhani, Kahlil Muchtar, Maulisa Oktiana, Khairun Saddami, Safrizal Razali, Novi Maulina
2025	—	`conf`	Plant Species-Specific Anomaly Detection Based on Electrophysiological Signals. APSIPA Andy Desman Lo, Elvin Nur Furqon, Junaidul Islam, Isack Farady, Kahlil Muchtar, Ronnie Concepcion, Chih-Yang Lin
2025	J	`jnl`	Reliability Improvement of 28 nm Intel FPGA Ring Oscillator PUF for Chip Identification. Cryptogr. Zulfikar Zulfikar, Hubbul Walidainy, Aulia Rahman, Kahlil Muchtar
2024	—	`conf`	An Edge AI-Powered Defect Coffee Detector Using Streamlit Web App. GCCE Rauzatul Jannah, Akbar Maulana Putra, Kahlil Muchtar, Safrizal Razali, Rika Sri Utami
2024	B	`conf`	EdANo-Vision: An Edge AI-Powered Anomaly Detector using Flask Web-App Framework. AVSS Kahlil Muchtar, Adhiguna Mahendra, Muhammad Rizky Munggaran, Maya Fitria, Al Bahri, Fitri Arnia, Chih-Yang Lin
2024	J	`jnl`	Hybrid Models for Emotion Classification and Sentiment Analysis in Indonesian Language. Appl. Comput. Intell. Soft Comput. Hendri Ahmadian, Taufik Fuadi Abidin, Hammam Riza, Kahlil Muchtar
2024	—	`conf`	Utilizing Edge Device and Streamlit for Comparative Evaluation of CLAHE-Based Underwater Image Enhancement Techniques. GCCE Nurul Asmi Amalia, Aida Afira, Maria Ulfa, Kahlil Muchtar
2024	—	`conf`	Web-App based Melanoma Skin Cancer Classification through Streamlit and Deep Learning. GCCE Muhammad Rizki Satria, Yulia Sufani, Kahlil Muchtar, Fathurrahman Fathurrahman, Yunida Yunida
2023	—	`conf`	A Low-cost Raspberry Pi and Deep Learning System for Customer Analysis. GCCE Muhammad Jurej Al Hamdi, Wildan Mumtaz, Nizam Albar, Teuku Abrar Mifta, Jamalur Ridha, Kahlil Muchtar
2023	—	`conf`	Effect of CLAHE-based Enhancement on Bean Leaf Disease Classification through Explainable AI. GCCE Teuku Rizky Noviandy, Aga Maulana, Faris Khowarizmi, Kahlil Muchtar
2023	J	`jnl`	Moving Object Detection for Complex Scenes by Merging BG Modeling and Deep Learning Method. J. Artif. Intell. Soft Comput. Res. Chih-Yang Lin, Han-Yi Huang, Wei-Yang Lin, Hui-Fuang Ng, Kahlil Muchtar, Nadhila Nurdin
2022	—	`conf`	A Unified Video Summarization for Video Anomalies Through Deep Learning. ICME Workshops Kahlil Muchtar, Muhammad Rizky Munggaran, Adhiguna Mahendra, Khairul Anwar, Chih-Yang Lin
2022	J	`jnl`	Moving Pedestrian Localization and Detection With Guided Filtering. IEEE Access Kahlil Muchtar, Al Bahri, Maya Fitria, Tjeng Wawan Cenggoro, Bens Pardamean, Adhiguna Mahendra, Muhammad Rizky Munggaran, Chih-Yang Lin
2021	—	`conf`	Embedded-based Tomato Septoria Leaf Detection with Intel Movidius Neural Compute Stick. GCCE Kahlil Muchtar, Chairuman Chairuman, Maya Fitria, Muhammad Yusuf Kardawi, Alifya Febriana, Nona Zarima, Chih-Yang Lin
2021	—	`conf`	Lightweight Pedestrian Detection through Guided Filtering and Deep Learning. GCCE Kahlil Muchtar, Khairun Saddami, Akhyar Bintang, Tjeng Wawan Cenggoro, Bens Pardamean, Chih-Yang Lin, Tia Ernita
2020	J	`jnl`	Deep anomaly detection through visual attention in surveillance videos. J. Big Data Nasaruddin Nasaruddin, Kahlil Muchtar, Afdhal Afdhal, Alvin Prayuda Juniarta Dwiyantoro
2020	J	`jnl`	Image Enhancement for Tuberculosis Detection Using Deep Learning. IEEE Access Khairul Munadi, Kahlil Muchtar, Novi Maulina, Biswajeet Pradhan
2020	J	`jnl`	Moving Object Detection Through Image Bit-Planes Representation Without Thresholding. IEEE Trans. Intell. Transp. Syst. Chih-Yang Lin, Kahlil Muchtar, Wei-Yang Lin, Zhi-Yao Jian
2020	—	`conf`	Performance Evaluation of Binary Classification of Tuberculosis through Unsharp Masking and Deep Learning Technique. APSIPA Kahlil Muchtar, Khairul Munadi, Novi Maulina, Biswajeet Pradhan, Fitri Arnia, Budi Yanti
2019	J	`jnl`	A Lightweight Moving Vehicle Classification System Through Attention-Based Method and Deep Learning. IEEE Access Nasaruddin Nasaruddin, Kahlil Muchtar, Afdhal Afdhal
2019	—	`conf`	A unified smart surveillance system incorporating adaptive foreground extraction and deep learning-based classification. ICAIIC Kahlil Muchtar, Faris Rahman, Muhammad Rizky Munggaran, Alvin Prayuda Juniarta Dwiyantoro, Richard Dharmadi, Indra Nugraha
2019	—	`conf`	Attention-based Approach for Efficient Moving Vehicle Classification. ICCSCI Kahlil Muchtar, Nasaruddin, Afdhal, Indra Nugraha
2019	B	`conf`	Coarse-to-Fine Object Detection for Ride-Hailing Market Analysis. AVSS Alvin Prayuda Juniarta Dwiyantoro, Kahlil Muchtar, Faris Rahman, Muhammad Wiryahardiyanto, Reynaldy Hardiyanto
2019	B	`conf`	High Efficient Single-stage Steel Surface Defect Detection. AVSS Fityanul Akhyar, Chih-Yang Lin, Kahlil Muchtar, Tung-Ying Wu, Hui-Fuang Ng
2018	A	`conf`	An Efficient Event Detection Through Background Subtraction and Deep Convolutional Nets. ICS Kahlil Muchtar, Faris Rahman, Muhammad Rizky Munggaran, Alvin Prayuda Juniarta Dwiyantoro, Richard Dharmadi, Indra Nugraha, Chuan-Yu Chang
2018	—	`conf`	An Improved Version of Texture-based Foreground Segmentation: Block-based Adaptive Segmenter. ICCSCI Kahlil Muchtar, Faris Rahman, Tjeng Wawan Cenggoro, Arif Budiarto, Bens Pardamean
2018	J	`jnl`	Coding unit complexity-based predictions of coding unit depth and prediction unit mode for efficient HEVC-to-SHVC transcoding with quality scalability. J. Vis. Commun. Image Represent. Chia-Hung Yeh, Wen-Yu Tseng, Li-Wei Kang, Cheng-Wei Lee, Kahlil Muchtar, Mei-Juan Chen
2018	J	`jnl`	Rain streak removal based on non-negative matrix factorization. Multim. Tools Appl. Chia-Hung Yeh, Chih-Yang Lin, Kahlil Muchtar, Pin-Hsian Liu
2017	J	`jnl`	Moving object detection in the encrypted domain. Multim. Tools Appl. Chih-Yang Lin, Kahlil Muchtar, Jia-Ying Lin, Yu-Hsien Sung, Chia-Hung Yeh
2017	J	`jnl`	Three-Pronged Compensation and Hysteresis Thresholding for Moving Object Detection in Real-Time Video Surveillance. IEEE Trans. Ind. Electron. Chia-Hung Yeh, Chih-Yang Lin, Kahlil Muchtar, Hsiang-Erh Lai, Ming-Ting Sun
2016	J	`jnl`	Robust techniques for abandoned and removed object detection based on Markov random field. J. Vis. Commun. Image Represent. Chih-Yang Lin, Kahlil Muchtar, Chia-Hung Yeh
2016	J	`jnl`	Secure multicasting of images via joint privacy-preserving fingerprinting, decryption, and authentication. J. Vis. Commun. Image Represent. Chih-Yang Lin, Kahlil Muchtar, Chia-Hung Yeh, Chun-Shien Lu
2014	—	`conf`	Automated reconstruction of 3D object on embedded system for mobile apps. GCCE Yu-Hsien Sung, Kahlil Muchtar, Hsiang-Erh Lai, Chia-Hung Yeh, Chia-Yen Chen
2014	C	`conf`	Grabcut-based abandoned object detection. MMSP Kahlil Muchtar, Chih-Yang Lin, Chia-Hung Yeh
2014	A	`conf`	Heartbeat measurement based on laser speckle fingerprint. ICS Kahlil Muchtar, Chia-Hung Yeh, Cheng-Wei Lee, Wen-Hung Xu, Po-Yi Sung, Chia-Chen Kuo
2014	J	`jnl`	Real-time background modeling based on a multi-level texture description. Inf. Sci. Chia-Hung Yeh, Chih-Yang Lin, Kahlil Muchtar, Li-Wei Kang
2013	—	`conf`	Abandoned object detection in complicated environments. APSIPA Kahlil Muchtar, Chih-Yang Lin, Li-Wei Kang, Chia-Hung Yeh
2012	—	`conf`	Background subtraction by modeling pixel and neighborhood information. APSIPA Shu-Jhen Fan-Jiang, Kahlil Muchtar, Chih-Yang Lin, Li-Wei Kang, Chia-Hung Yeh