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All Journal Seminar Nasional Aplikasi Teknologi Informasi (SNATI) Teknika Seminar Nasional Informatika (SEMNASIF) Al-Jabar : Jurnal Pendidikan Matematika Emerging Science Journal Jurnal TAM (Technology Acceptance Model) Prosiding Seminar Nasional Darmajaya International Journal on Emerging Mathematics Education International Journal of Supply Chain Management Journal of Robotics and Control (JRC) Indonesian Journal of Electrical Engineering and Computer Science Dinasti International Journal of Economics, Finance & Accounting (DIJEFA) Jurnal PkM: Pemberdayaan Masyarakat Hipotenusa: Journal of Research Mathematics Education (HJRME) IJAIRTec Al Irsyad: Jurnal Studi Islam NEAR: Jurnal Pengabdian kepada Masyarakat Pena Dimas Jurnal Pengabdian dan Pemberdayaan Masyarakat Indonesia SATKRIYA: Jurnal Pengabdian Kepada Masyarakat Siber Journal of Advanced Multidisciplinary Siber Journal of Transportation and Logistics Siber International Journal of Digital Business Siber International Journal of Education Technology Jurnal Greenation Sosial dan Politik Greenation International Journal of Engineering Science Greenation International Journal of Law and Social Sciences Greenation International Journal of Tourism and Management Greenation International Journal of Economics and Accounting Dinasti Information and Technology Dinasti Accounting Review International Journal of Psychology and Health Science Dinasti Health and Pharmacy Science Siber International Journal of Advanced Law International Journal of Artificial Intelligence and Robotic Technology (IJAIRTec) Jurnal TAM (Technology Acceptance Model) Jurnal Studi Multidisiplin Ilmu Siber Nusantara of Economic and Finance Review (SNEFR)
Andino Maseleno
Institut Bakti Nusantara
Religion Aerospace Engineering Agriculture, Biological Sciences & Forestry Humanities Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Health Professions Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Materials Science & Nanotechnology Mathematics Mechanical Engineering Nursing Public Health Social Sciences Transportation Other

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Journal : emerging science journal

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An Explainable Deep Learning Approach for Classifying Monkeypox Disease by Leveraging Skin Lesion Image Data Maseleno, Andino; Huda, Miftachul; Ratanamahatana, Chotirat Ann
Emerging Science Journal Vol 8, No 5 (2024): October
Publisher : Ital Publication

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28991/ESJ-2024-08-05-013

Abstract

According to the World Health Organization's (WHO) external situation report on the multi-country outbreak of Monkeypox in 2023, from 11 countries in Southeast Asia Regions, Thailand recorded the highest reported cases, totaling 461. The ongoing Monkeypox outbreak has raised significant public health concerns due to its rapid spread across several nations. Early detection and diagnosis are imperative for effectively treating and controlling Monkeypox. Given this context, this study aimed to determine the most efficient model for detecting Monkeypox by employing interpretable deep learning techniques. This study utilizes deep learning techniques to diagnose Monkeypox based on images of skin lesions. We evaluate based on four models—convolutional neural network (CNN), gated recurrent unit (GRU), long short-term memory (LSTM), and bidirectional long short term memory (BiLSTM)—using a publicly available dataset. Additionally, we incorporate Local Interpretable Model-Agnostic Explanations (LIME) and techniques for explainable AI, facilitating visual interpretation of model predictions for healthcare practitioners. The CNN model's performance and LSTM model's performance have an accuracy of 100%, while the GRU model's performance and BiLSTM model's performance have an accuracy of 99.88% and 99.45%. Our findings demonstrate the effectiveness of deep learning models, including the suggested CNN model leveraging the pre-trained MobileNetV2 and LSTM. These models can play a pivotal role in combating the Monkeypox virus. Doi: 10.28991/ESJ-2024-08-05-013 Full Text: PDF
Multimodal Emotion Recognition Using Hybrid Large Language Models and Metaheuristic Algorithms Andino Maseleno; M. Teduh Uliniansyah; Agung Santosa; Lyla Ruslana Aini; Rini Wijayanti; Ahmad Fudholi; Chotirat Ann Ratanamahatana
Emerging Science Journal Vol. 10 No. 2 (2026): April
Publisher : Ital Publication

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28991/ESJ-2026-010-02-015

Abstract

Emotion recognition is a vital component of human–computer interaction and intelligent systems, yet robust multimodal emotion recognition remains challenging due to high-dimensional input space, noisy features, and the complexity of integrating heterogeneous modalities. This study proposes a novel hybrid multimodal framework that enhances both accuracy and computational efficiency by combining the semantic representation capability of Large Language Models (LLMs) with the optimization strengths of metaheuristic algorithms. In the proposed approach, an LLM is utilized to extract high-level contextual features from text and audio streams, while the Binary Artificial Hummingbird Algorithm (BAHA) performs feature selection to remove redundant attributes. Subsequently, the Goose Algorithm (GA) optimizes classifier hyperparameters, and the Komodo Mlipir Algorithm (KMA) conducts late fusion of the final multimodal outputs. Experiments conducted on the Interactive Emotional Dyadic Motion Capture (IEMOCAP) dataset, evaluated on six emotion categories, demonstrate that this hybrid approach successfully captures subtle affective cues and surpasses state-of-the-art baselines, achieving an accuracy of 87.5%. Integrating LLMs with multiple specialized metaheuristics therefore yields a substantially more robust emotion recognition pipeline and represents a promising direction toward the development of more emotionally intelligent systems.
Co-Authors Aa Hubur AA Hubur Aalap Patel Aashvi Patel Abhi Rajkotiya Adi Prasetia Nanda Aditi Kalani Aditya Godara Agrawal, Heit Agung Santosa Ahmad Fudholi Ahmad Khumaidi Akshat Jain Akshat Soni Alfian Ma’arif Anggia Sari Ani Choirunnisa Ansh Sharma Anwar, Muhammad Saidun Apsari, Nur Fitri Artha, Arsya Sinatria Aryan Loriya Aryan Shah Ayu Lidia Bachani, Jenith Baghadiya, Jenik Baldi, Vansh Barvaliya, Ram Bhatt, Aum Bhutra, Yuvraj Bibi Rawiyah Mulung Bich Huynh, Vy Dang Bich Vu, Ngoc Bohra, Hussain Budi Satiawan Chahwala, Keshav Chaksu Patel Chatarina Umbul Wahyuni Chauhan, Rahul Choirudin, Choirudin Choirunnisa, Ani Chotirat Ann Ratanamahatana Citra Dewi Citrawati Jatiningrum Damayanti, Alfina Danar Aulia Husnan Dang Vo, Khoa Darshan Darshan De Brito Silva, Gabriel Deep P, Baraiya Dhaakad, Deepak Dhanak, Jaydev Dhara Patel Dhiya Uddin Rijalusalam Dhruv Rankawat Dhruv, Aryan Dhvanit Santoki Diyanshi Patel Dwivedi, Shaurya Eka Fitria Ningsih Eka Fitriana Endang Noerhartati Erliza Septia Nagara Eva Yuliana Fauzi Fauzi Fauzi Fauzi Fiqih Satria Gabriel De Brito Silva Gabriel De Brito Silva Gafurjiwala, Moh. Kaif Goyal , Vikas Guha, Tannay Gurjar, Krishna Hamzah Hamzah Harishchandra Singh Rathod Hasanah, Khuswatun Hashim, Wahidah Hendra Hendra Herni Setyaningsih Herni Setyaningsih Husnan, Danar Aulia Iing Lukman Ipin Prasojo Ipin Prasojo, Ipin Irfan Ahmad Isnaini, Nurlaila Iswanto Iswanto Jadhwani, Om Jainish Gami Jaju, Pooja Jenil Desai Jeprianto Jyot Kota Kacchara, Gul Kachhadiya, Diya Kamya, Bhatt Kataria, Yachi Khakhar, Bhavik Khoa Dang Vo Khubchandani, Sania Khuswatun Hasanah Kotak, Yash Krish Patel Kristina, Marilin Krrish Gupta Laksono Trisnantoro Le Hoang Thuy To Nguyen, Quyen Loan Phuc Le Lucky Mendpara Lyla Ruslana Aini M. Teduh Uliniansyah Machhvara, Jenil Mahek Narwani Makhija, Hitesh Mansi Thummar Manthan Gondaliya Md. Mahmud Hasan Meet Satasiya Meet Shah Meet Shah, Meet Meghwal, Mayank Mehta, Hitarth Mehta, Meet Mendpara, Lucky Mian Usman Sattar Miftachul Huda Milan Dhupper Miswan Gumanti Mohnia, Tiya Monpara, Yesha Muhamad Muslihudin Muhammad Heri Zulfiar Muhammad Miftahussurur Muhammad Nuril Iskandar Muhtadin Arrosyid Muhtadin Asnady Murti, Sri Nagani, Purva Nagdevani, Dev Naik, Pratham Netra Viramgama Ngoc Bich Vu Nia Maharani Raharja Nirav Patel Nishit Patel Nishith Shahu Norjaidi Tuah Nungsiyati . Nur Aminudin Nur Azizah nurul latifah Omar tanane Omar Tanane Padaliya, Om Padang Tunggal, Tatiya Parchani, Nilesh Patel, Diya Patel, Hetvi Patel, Kavya Patel, Raj Patel, Suhani Patel, Tarang Patel, Vasu Petel, Bhavya Phong Thanh Nguyen Phuc Le, Loan Phuong Thanh Phan Pooja Vyas Prajapati, Hetal Prisma Megantoro Quyen Le Hoang Thuy To Nguyen R Rizal Isnanto R Rizal Isnanto R. Rizal Isnanto R. Rizal Isnanto Rachmad Andri Atmoko Rafika Purnama Sari Rahul Chauhan Rahul Chauhan Rahul Chauhan Rahul Chauhan Rahul Chauhan Rais Zulkarnain Raisa, Kharchenko Raithatha, Bhavya Raj Patel Rajapara, Monil Rajkotiya, Abhi Rakesh Shah, Arya Ramchandani, Paras Ramrakhya, Divesh Rara Marselina Jupon Ratanamahatana, Chotirat Ann Rathod, Lakshita Reza Alayi Rika Fetricia Rina Wati Rini Wijayanti Rizal Isnanto Rizal Isnanto, R Rizal Isnanto, R. Rucha Akhani Rudra Patel Sah, Aditya Sakaria, Anuchi Samsukha, Akshita Samtani, Heena Sanskruti Kaneriya Sapra, Ruchi Satria Abadi Satria Abadi Satria, Fiqih Sattar, Mian Usman Seli Aulia Faozi Seth, Dhruv Shah, Dhwanit Shah, Fenil Shah, Hitarth Shah, Nirmit Shah, Stuti Shah, Supan Shah, Tanish Shahu, Nishith Sharma, Ansh Sharma, Yajurv Shriyal, Harsh Shubham, Chavda Sigit Soijoyo Silva, Gabriel De Brito Singh, Pushpendra Sinh Zala, Harshvadhan Sodikin Sodikin Sompura, Jayesh Sri Murti Srinija Nekkanti Store, Shreyas Suda, Pranjal Sudewi Sudewi Sutrisna Sutrisna Suyono Suyono Swastika, Rulin Tanane, Omar Tatiya Padang Tunggal Thacker, Nevil Thakkar, Krish Thakur, Aryan Thanh Nguyen, Phong Thanh Phan, Phuong Tonisha Dixit Tri Ayu Septiana Tri Susilowati Tri Susilowati Triana Dewi Triana Dewi Trisnawati Trivedi, Pratham Unaliya, Maitri Vaghela, Sidhraj Vaja, Hitarthsinh Vasu Patel Vibhu Aghera Viral Patel Viramgama, Netra Vy Dang Bich Huynh Wahidah Hashim Yash Bhanderi Yash Rangani Yash, Panchal Yoeyong Rahsel Yumaira Yus Zalariya, Nihal Zaveri, Krish Zulkifli