Suchergebnisse - "Shidik, Guruh Fajar"

Optimized visualization of digital image steganography using least significant Bits and AES for secret key encryption.

Autoren: Jatmoko, Cahaya Sinaga, Daurat Lestiawan, Heru et al.

Quelle: Kinetik: Game Technology, Information System, Computer Network, Computing, Electronics & Control; Aug2025, Vol. 10 Issue 3, p377-386, 10p

Schlagwörter: ADVANCED Encryption Standard, DATA encryption, DIGITAL preservation, CRYPTOGRAPHY, GRAYSCALE model

Improved chaotic image encryption in grayscale color space using elliptic curves and the 3d Lorenz system.

Autoren: Sinaga, Daurat Jatmoko, Cahaya Astuti, Erna Zuni et al.

Quelle: Kinetik: Game Technology, Information System, Computer Network, Computing, Electronics & Control; Aug2025, Vol. 10 Issue 3, p367-376, 10p

Schlagwörter: IMAGE encryption, ELLIPTIC curve cryptography, COLOR space, ELLIPTIC curves, GRAYSCALE model

Adaptive Momentum Strategies for CNN-Based Speech Emotion Recognition.

Autoren: Muljono Al Azies, Harun Naufal, Muhammad et al.

Quelle: International Journal of Intelligent Engineering & Systems; 2025, Vol. 18 Issue 11, p1036-1048, 13p

Schlagwörter: CONVOLUTIONAL neural networks, EMOTION recognition, MACHINE learning, STATISTICAL accuracy, RESEARCH evaluation, DEEP learning, OPTIMIZATION algorithms

Region of Interest-Based Breast Cancer Detection with Oversampling Technique.

Autoren: Kurniawan, Defri Salam, Abu Astuti, Yani Parti et al.

Quelle: Ingénierie des Systèmes d'Information; Jan2025, Vol. 30 Issue 1, p149-156, 8p

Schlagwörter: EARLY detection of cancer, BREAST cancer, MEDICAL screening, DIAGNOSTIC imaging, MAMMOGRAMS, DEEP learning

ReXtOFAM: A ResNeXt-based Backbone with Optimized Fusion Attention Module for Football Player Detection Using Cascade R-CNN.

Autoren: Setyoko, Bimo Haryo Noersasongko, Edi Shidik, Guruh Fajar et al.

Quelle: International Journal of Intelligent Engineering & Systems; 2025, Vol. 18 Issue 8, p418-431, 14p

Schlagwörter: SOCCER players, OBJECT recognition (Computer vision), ARTIFICIAL neural networks, MOTION analysis

Strategic Route Planning for Disaster Relief in Palu, Indonesia: A MILP Model Incorporating GIS Data.

Autoren: Rohman, Muhammad Syaifur Saraswati, Galuh Wilujeng Shidik, Guruh Fajar et al.

Quelle: Ingénierie des Systèmes d'Information; Jul2025, Vol. 30 Issue 7, p1869-1879, 11p

Schlagwörter: DISASTER relief, MIXED integer linear programming, GEODATABASES, EMERGENCY management, RESOURCE allocation

Geografische Kategorien: INDONESIA

Maximizing complex features to minimize the detectability of content-adaptive steganography.

Autoren: Setiadi, De Rosal Ignatius Moses Rustad, Supriadi Andono, Pulung Nurtantio et al.

Quelle: Multimedia Tools & Applications; Jun2025, Vol. 84 Issue 21, p23813-23831, 19p

Schlagwörter: COST functions, ARTIFICIAL intelligence, IMAGE processing, PIXELS, CUSTOMIZATION

Performance Evaluation of Text Embedding Models for Ambiguity Classification in Indonesian News Corpus: A Comparative Study of TF-IDF, Word2Vec, FastText BERT, and GPT.

Autoren: Sutriawan Rustad, Supriadi Shidik, Guruh Fajar et al.

Quelle: Ingénierie des Systèmes d'Information; Jun2025, Vol. 30 Issue 6, p1469-1482, 14p

Schlagwörter: AMBIGUITY, CORPORA, FEATURE extraction, LANGUAGE models, GENERATIVE pre-trained transformers

Hybrid Process Mining and Fuzzy Relation Weighting for Process Violation Weighting in Fraud Detection.

Autoren: Huda, Solichul Shidik, Guruh Fajar Rafrastara, Fauzi Adi et al.

Quelle: International Journal of Intelligent Engineering & Systems; 2025, Vol. 18 Issue 5, p910-924, 15p

Schlagwörter: FUZZY decision making, ENTERPRISE resource planning, PROCESS mining, FRAUD, INDUSTRIAL relations

Enhancing Logistics Transparency in Agro-Industry with Trust-Based ME-MCDM Decision Making.

Autoren: Yusianto, Rindra Ali, Rabei Raad Shidik, Guruh Fajar et al.

Quelle: Jurnal Teknik Industri; Feb2025, Vol. 26 Issue 1, p71-90, 20p

Schlagwörter: DISPUTE resolution, TOLL roads, FARM produce, MODEL validation, TRANSPORTATION costs

Optimizing earthquake damage prediction using particle swarm optimization-based feature selection.

Autoren: Winarsih, Nurul Anisa Sri Pramunendar, Ricardus Anggi Shidik, Guruh Fajar et al.

Quelle: Bulletin of Electrical Engineering & Informatics; Feb2025, Vol. 14 Issue 1, p533-542, 10p

Schlagwörter: MACHINE learning, PARTICLE swarm optimization, FEATURE selection, EARTHQUAKE prediction, K-nearest neighbor classification, EARTHQUAKE damage

Integrating ELECTRA and BERT models in transformer-based mental healthcare chatbot.

Autoren: Zeniarja, Junta Paramita, Cinantya Subhiyakto, Egia Rosi et al.

Quelle: Indonesian Journal of Electrical Engineering & Computer Science; Jan2025, Vol. 37 Issue 1, p315-324, 10p

Schlagwörter: CONVOLUTIONAL neural networks, LANGUAGE models, MENTAL illness, TRANSFORMER models, MENTAL health, CHATBOTS

Tree-based Ensemble Algorithms and Feature Selection Method for Intelligent Distributed Denial of Service Attack Detection.

Autoren: Rafrastara, Fauzi Adi Shidik, Guruh Fajar Ghozi, Wildanil et al.

Quelle: Journal of Cyber Security & Mobility; 2025, Vol. 14 Issue 1, p1-24, 24p

Schlagwörter: DENIAL of service attacks, RANDOM forest algorithms, ENSEMBLE learning, FEATURE selection, MACHINE learning

Refining Parameter Values in Convolutional Neural Networks Using Weight Modification Particle Swarm Optimization for Enhanced Coral Reef Condition Classification.

Autoren: Andono, Pulung Nurtantio Rohman, Muhammad Syaifur Megantara, Rama Aria et al.

Quelle: International Journal of Intelligent Engineering & Systems; 2024, Vol. 17 Issue 6, p779-790, 12p

Schlagwörter: GREY Wolf Optimizer algorithm, CORAL reefs & islands, PARTICLE swarm optimization, CONVOLUTIONAL neural networks, CORALS

Modification of Reward Function in Reinforcement Q-learning Agent to Improve Quality of Service in Federated Edge Cloud.

Autoren: Shidik, Guruh Fajar Setiono, Oki Umam, Chaerul et al.

Quelle: International Journal of Intelligent Engineering & Systems; 2024, Vol. 17 Issue 6, p1123-1135, 13p

Schlagwörter: RANDOM access memory, SERVICE level agreements, REINFORCEMENT (Psychology), LOGARITHMIC functions, QUALITY of service

A Novel Activation Function in Vegetation Density Classification Using Convolutional Neural Networks with Linear-Modified LuTa.

Autoren: Pramunendar, Ricardus Anggi Ratmana, Danny Oka Rafrastara, Fauzi Adi et al.

Quelle: International Journal of Intelligent Engineering & Systems; 2024, Vol. 17 Issue 6, p139-151, 13p

Schlagwörter: CONVOLUTIONAL neural networks, VEGETATION classification, LAND cover, DATA distribution, GROUND vegetation cover

Graded fuzzy edge detection for imperceptibility optimization of image steganography.

Autoren: Setiadi, De Rosal Ignatius Moses Rustad, Supriadi Andono, Pulung Nurtantio et al.

Quelle: Imaging Science Journal; Sep2024, Vol. 72 Issue 6, p693-705, 13p

Schlagwörter: REVERSIBLE data hiding (Computer science), PIXELS

Evaluation of Resampling Techniques in CNN-Based Heartbeat Classification.

Autoren: Subhiyakto, Egia Rosi Rakasiwi, Sindhu Zeniarja, Junta et al.

Quelle: Ingénierie des Systèmes d'Information; Aug2024, Vol. 29 Issue 4, p1323-1332, 10p

Schlagwörter: TRANSFORMER models, CONVOLUTIONAL neural networks, DATABASES, ELECTROCARDIOGRAPHY, MEDICAL records

Optimizing Parameters for Earthquake Prediction Using Bi-LSTM and Grey Wolf Optimization on Seismic Data.

Autoren: Shidik, Guruh Fajar Pramunendar, Ricardus Anggi Purwanto et al.

Quelle: Journal of Robotics & Control (JRC); 2024, Vol. 5 Issue 4, p1117-1127, 11p

Schlagwörter: MATHEMATICAL optimization, ERROR rates, STATISTICAL significance, ANALYSIS of variance, DISASTERS

LUTanh Activation Function to Optimize BI-LSTM in Earthquake Forecasting.

Autoren: Shidik, Guruh Fajar Pramunendar, Ricardus Anggi Kusuma, Edi Jaya et al.

Quelle: International Journal of Intelligent Engineering & Systems; 2024, Vol. 17 Issue 1, p572-583, 12p

Schlagwörter: EARTHQUAKES, DATA science, GEOPHYSICISTS, BASIC needs, EARTHQUAKE prediction, FORECASTING