ADCAIJ: Advances in Distributed Computing and Artificial Intelligence Journal

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  Año 2024, Vol. 13, Número 1

  • Articles

    • CNN Based Automatic Speech Recognition: A Comparative Study

      Hilal Ilgaz, Beyza Akkoyun, Özlem Alpay, M. A. Akcayol

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    • Filtering Approaches and Mish Activation Function Applied on Handwritten Chinese Character Recognition

      Zhong Yingna, Kauthar Mohd Daud, Kohbalan Moorthy, Ain Najiha Mohamad Nor

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    • Computer-Aided Detection and Diagnosis of Breast Cancer: a Review

      Bhanu Prakash Sharma, Ravindra Purwar

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    • Deep and Machine Learning for Acute Lymphoblastic Leukemia Diagnosis: A Comprehensive Review

      Mohammad Faiz, Bakkanarappa Gari Mounika, Mohd Akbar, Swapnita Srivastava

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    • Hybrid Text Embedding and Evolutionary Algorithm Approach for Topic Clustering in Online Discussion Forums

      Ibrahim Bouabdallaoui, Fatima Guerouate, Mohammed Sbihi

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    • Resolving Covid-19 with Blockchain and AI: A Systematic Review

      Suyogita Singh, Satya Bhushan Verma

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    • An Efficient Approach to Extract and Store Big Semantic Web Data Using Hadoop and Apache Spark GraphX

      Wria Mohammed Salih Mohammed, Alaa Khalil Jumaa

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    • A Review on Covid-19 Detection Using Artificial Intelligence from Chest CT Scan Slices

      Dhanshri Mali, S. A. Patil

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    • Optimizing Credit Card Fraud Detection: A Genetic Algorithm Approach with Multiple Feature Selection Methods

      Sunil Kumar Patel, Devina Panday

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    • Investigation of the Role of Machine Learning and Deep Learning in Improving Clinical Decision Making for Musculoskeletal Rehabilitation

      Madhu Yadav, Pushpendra Kumar Verma, Sumaiya Ansari

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    • Harigeeta: Cic Mechanism with Euclidean Steiner Tree for Service Latency Prediction in Delay-Sensitive Cloud Services

      Rahul Kumar Sharma, Sarvpal Singh

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    • Sarcasm Text Detection on News Headlines Using Novel Hybrid Machine Learning Techniques

      Neha Singh, Umesh Chandra Jaiswal

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    • A Systematic Analysis of Various Word Sense Disambiguation Approaches

      Chandra Ganesh, Sanjay K. Dwivedi, Satya Bhushan Verma, Manish Dixit

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    • Evaluating the Effectiveness of Zero Trust Architecture in Protecting Against Advanced Persistent Threats

      Pushpendra Kumar Verma, Bharat Singh, Preety ., Shubham Kumar Sharma, Rakesh Prasad Joshi

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    • A Parallel Approach to Generate Sports Highlights from Match Videos Using Artificial Intelligence

      Arjun Sivaraman, Tarun Kannuchamy, Anmol Anand, Shivam Dheer, Devansh Mishra, Narayanan Prasanth, S.P. Raja

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    • Optimized Deep Belief Network for Efficient Fault Detection in Induction Motor

      Pradeep Katta, K. Karunanithi, S.P. Raja, S. Ramesh, S. Vinoth John Prakash, Deepthi Joseph

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    • ML-Based Quantitative Analysis of Linguistic and Speech Features Relevant in Predicting Alzheimer’s Disease

      Tripti Tripathi, Rakesh Kumar

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    • Classification of Animal Behaviour Using Deep Learning Models

      M. Sowmya, M. Balasubramanian, K. Vaidehi

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    • Optimal Positioning and Sizing of Distributed Energy Sources in Distribution System Using Hunter-Prey Optimizer Algorithm

      P. Rajakumar, M. Senthil Kumar, K. Karunanithi, S. Vinoth John Prakash, P. Baburao, S.P. Raja

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    • An Ensemble Based Machine Learning Classification for Automated Glaucoma Detection

      Digvijay J. Pawar, Yuvraj K. Kanse, Suhas S. Patil

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    • Federated Learning in Data Privacy and Security

      Dokuru Trisha Reddy, Haripriya Nandigam, Sai Charan Indla, S.P. Raja

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    • Performance Analysis of Software-Defined Networking in Band Controllers for Different Network Topologies

      Hussein Ali Al Gubouri

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    • Performance Research on Multi-Target Detection in Different Noisy Environments

      Yuhong Yin, Qian Jia, Huiqi Xu, Guanglei Fu

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    • CyberUnits Bricks: An Implementation Study of a Class Library for Simulating Nonlinear Biological Feedback Loops

      Johannes W. Dietrich, Nina Siegmar, Jonas R. Hojjati, Oliver Gardt, Bernhard O. Boehm

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    • Bus Ridership Prediction and Scenario Analysis through ML and Multi-Agent Simulations

      Pasqual Martí Gimeno, Alejandro Ibáñez, Vicente J. Julián Inglada, Paulo Novais, Jaume Magí Jordán Prunera

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    • Systematic Literature Review of Machine Learning Models for Detecting DDoS Attacks in IoT Networks

      Marcos Luengo Viñuela, Jesús Ángel Román Gallego

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    • Evaluation and Refinement of Elbow Recovery in Sports Medicine Using Smart Tracking Technologies

      Sergio Alonso Rollán, Sergio Márquez Sánchez, Albano Carrera González, Isaac M. S. Froes, Juan F. Blanco Blanco

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    • Evaluation of One-Class Techniques for Early Estrus Detection on Galician Intensive Dairy Cow Farm Based on Behavioral Data From Activity Collars

      Álvaro Michelena Grandío, Esteban Jove Pérez, Óscar Fontenla Romero, José Luis Calvo-Rolle

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