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ORCID7th ISMSI 2023: Virtual Event, Malaysia
- ISMSI 2023: Proceedings of the 7th International Conference on Intelligent Systems, Metaheuristics & Swarm Intelligence, Virtual Event, Malaysia, April 23-24, 2023. ACM 2023, ISBN 978-1-4503-9992-0
- Taeisha Nundlall
, Terence L. van Zyl:
Machine Learning for Socially Responsible Portfolio Optimisation. 1-6 - Jacob Mallet, Laura Pryor, Rushit Dave, Mounika Vanamala:
Deepfake Detection Analyzing Hybrid Dataset Utilizing CNN and SVM. 7-11 - Aniruddha Tiwari, Rushit Dave, Mounika Vanamala:
Leveraging Deep Learning Approaches for Deepfake Detection: A Review. 12-19 - Lee-Wei Jun, Mohammad Dalvi Esfahani, Tseu-Kwan Lee:
Predicting Open Parking Space using Deep Learning and Support Vector Regression. 20-27 - Alme Bautista Maravillas, Larmie Santos Feliscuzo, James Arnold Estrelloso Nogra:
Habitat Prediction and Knowledge Extraction for Marine Bivalves using Machine Learning Techniques. 28-35 - Xi Li, Michele Curiger, Rolf Dornberger, Thomas Hanne:
Optimized Computational Diabetes Prediction with Feature Selection Algorithms. 36-43 - Masahiro Kanazaki, Takeharu Toyoda:
Improved Solution Search Performance of Constrained MOEA/D Hybridizing Directional Mating and Local Mating. 44-49 - Zhiyong Luo, Mingxiang Tan, Zhengwen Huang, Guoquan Li:
Chaos Gray Wolf global optimization algorithm based on Opposition-based Learning. 50-57 - Sonia Bullah, Terence L. van Zyl:
A Learnheuristic Approach to A Constrained Multi-Objective Portfolio Optimisation Problem. 58-65 - Alexandre Miccoli, Thomas Hanne, Rolf Dornberger:
Analyzing the Computing Time to Solve Single Row Facility Layout Problems by Simulated Annealing in a Python Framework. 66-72 - Hendro Hendro, Ary Mazharuddin Shiddiqi:
Feature Selection using Gravitational Search Algorithm in Customer Churn Prediction. 73-78 - Sahil Nokhwal, Saurabh Pahune, Ankit Chaudhary:
EmbAu: A Novel Technique to Embed Audio Data using Shuffled Frog Leaping Algorithm. 79-86 - Koosha Samieefar:
A Meta-heuristic Approach for Strategic Fair Division Problems. 87-94 - Akemi Gálvez, Iztok Fister, Suash Deb, Iztok Fister Jr., Andrés Iglesias:
Cuckoo Search Algorithm with Lévy Flights for Surface Reconstruction from Point Clouds with Applications to Reverse Engineering. 95-102 - Rijk Marius de Wet, Andries P. Engelbrecht:
Set-based Particle Swarm Optimization for Data Clustering: Comparison and Analysis of Control Parameters. 103-110 - Ahmed R. Sadik, Bram Bolder, Pero Subasic:
A self-adaptive system of systems architecture to enable its ad-hoc scalability: Unmanned Vehicle Fleet - Mission Control Center Case study. 111-118 - Kazuhisa Chiba, Masahiro Kanazaki:
Feedback-Circulating Design Space Exploration by Multi-Sampling Kriging Model: Exploitation for the Lift Rise by an Aircraft Flap with Yaw-Wise Rotation. 119-123 - Doaa B. Ebaid, Magda M. Madbouly, Adel A. El-Zoghabi:
Dynamic Self-Attention with Guided-Attention Network for Visual Question Answering using Capsules Dynamic Routing. 124-131 - Petr Skobelev, Elena V. Simonova, Aleksey Tabachinskiy, Evgeniy Kudryakov, Anatoliy Strizhakov, Oleg Goryanin, Vasily Ermakov, Yung-Kuan Chan, Tzong-Ru Lee, Yu Sung:
Concept and Development of a Multi-Agent Digital Twin of Plant Focused on Broccoli. 132-138 - Shoi Suzuki, Atsushi Okamoto, Katsuyoshi Michibayashi, Toshiaki Omori:
Three-dimensional Super-resolution of X-ray CT Data of Rock Samples by Sparse Representation Learning. 139-143 - Victor Kwaku Agbesi, Wenyu Chen, Abush S. Ameneshewa, Emmanuel Odame, Koffi Dumor, Judith Ayekai Browne:
Efficient Adaptive Convolutional Model Based on Label Embedding for Text Classification Using Low Resource Languages. 144-151 - Seifedine Nimer Kadry, Amir H. Gandomi:
Framework for Healthy/Hemorrhagic Brain Condition Detection using CT Scan Images. 152-158
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