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ORCIDApplied Computer Systems, Volume 29
Volume 29, Number 1, 2024
- Syed Muhammad Aqil Burney
, Muhammad Shahbaz Khan, Affan Alim, Riswan Efendi:
An Immense Approach of High Order Fuzzy Time Series Forecasting of Household Consumption Expenditures with High Precision. 1-7 - Sebastian Grundstein, Bernhard Burger, Johannes Schöck:
Adaptation of the Automotive Product Development Process for AI Development. 8-13 - Vadim V. Romanuke:
DBSCAN Speedup for Time-Serpentine Datasets. 14-23 - Rania Bouzid, Hassène Gritli, Jyotindra Narayan:
ANN Approach for SCARA Robot Inverse Kinematics Solutions with Diverse Datasets and Optimisers. 24-34 - Seda Arslan Tuncer, Ahmet Çinar, Merve Erkus, Taner Tuncer:
Deep Multi-Modal Fusion Model for Identification of Eight Different Particles in Urinary Sediment. 35-44 - Taner Tuncer, Asli Sesli, Seda Arslan Tuncer:
Determination of Ataxia with EfficientNet Models in Person with Early MS using Plantar Pressure Distribution Signals. 45-52 - Nadira Boukhatem, Kamel Messaoudi, Abdelghani Redjati, Fatima Brik, Amani Nasri:
Analysis of the Compressed Video with HEVC under Optical Link Transmission. 53-58 - Oksana Nikiforova, Kristaps Babris, Aytaj Guliyeva:
Definition of a Set of Use Case Patterns for Application Systems: A Prototype-Supported Development Approach. 59-67 - Uldis Karlovs-Karlovskis:
Generative Artificial Intelligence Use in Optimising Software Engineering Process: A Systematic Literature Review. 68-77 - Aleksandrs Sisojevs, Aleksandrs Korsunovs, Martins Banis, Vilnis Juris Turkovs, Reinis Cimurs:
Heterogeneous Map Fusion from Occupancy Grid Histograms for Mobile Robots. 78-84 - Adegboye Adegboyega, Anthony Agboizebeta Imianvan:
A Comparative Study of Various Machine Learning Techniques for Diagnosing Clinical Depression. 85-90 - Shambhu Kumar Jha, Shambhavi Vats, Rajni Sehgal Kaushik:
Alzheimer's Disease Detection: A Comparative Study of Machine Learning Models and Multilayer Perceptron. 91-97 - Vikram Bhutani, Farshad Ghassemi Toosi, Jim Buckley:
Analysing the Analysers: An Investigation of Source Code Analysis Tools. 98-111 - Priyadharsini Ravisankar, Varsha Balaji, Shahul Hameed T:
Deep Learning-Based Renal Stone Detection: A Comprehensive Study and Performance Analysis. 112-116 - Abisola Olayiwola, Adekunle Oluseyi Afolabi, Dare Olayiwola, Ajibola Oyedeji:
Knowledge Elicitation Using the Delphi Technique in Developing Diagnosis Systems. 117-123
Volume 29, Number 2, 2024
- Erdem Yavuz:
Low-Cost Embedded System Design for Smart Home Automation Using RF Technology. 1-13 - Khaoula Hamadouche, Kheira Zineb Bousmaha, Mohamed Yasine Bahi Amar, Lamia Hadrich Belguith:
Detection of Arabic and Algerian Fake News. 14-21 - Thanh-Hai Nguyen, Linh Thuy Thi Pham, Dung Thi Dang, Son Nguyen Huynh, Phu Hao Dang, Quoc Thien Huynh Nguyen:
Age Prediction from Facial Images Using Deep Learning Architecture. 22-29 - Tasnim Alasali, Omar Dakkak, Ilker Türker:
Unveiling Trends of Chatbot and Conversational Agents: A Bibliometric Study. 30-42 - Christian O'Leary, Conor Lynch, Farshad Ghassemi Toosi:
A Comparative Analysis of Automated Machine Learning Libraries for Electricity Price Forecasting. 43-52
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