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02. International Journal of Computing and Digital Systems: Recent submissions

  • Forecasting Trends in Cryptocurrencies through the Application of Association Rule Mining Techniques 
    EL MAHJOUBY, Mohamed; Taj Bennani, Mohamed; El Fahssi, Khalid; Elgarouani, Said; Lamrini, Mohamed; EL FAR, Mohamed (2024-07-12)
    Data mining in the stock market and cryptocurrencies is the most used. In this paper, we applied a data mining approach to implement association rules. Our significant contribution is to ascertain a robust correlation ...
  • Multimodal Graph-based Recommendation System using Hybrid Filtering Approach 
    Gupta, Sorabh; Kumar Bindal, Amit; Prasad, Devendra (2024-07-12)
    This paper proposes a multimodal graph based recommendation system using a hybrid filtering approach. The proposed approach uses various sources of data and advanced graph based deep learning algorithms to provide more ...
  • Optimized Latency and Energy Management in Fog-Based Agriculture 4.0 
    Mohamed, Baghrous; Abdellatif, Ezzouhairi; Manare, Zerifi; Youssef, Errafik; Kadim, Ayoub (2024-07-12)
    The implementation of IoT devices in agriculture has transformed smart farming, enabling precise real-time monitoring and management of agricultural activities. However, traditional smart farming applications that rely ...
  • Development of Cyber Security Awareness and Education Framework 
    Ashraf M. Sharif, Amreen; Alammary, Jaflah (2024-07-12)
    All barriers have been removed by the internet, which has completely changed how we interact with one another, watch movies, make friends, work, play games, shop, listen to music, place food orders, pay bills, and wish ...
  • A Tool for Parsing, Analyzing, and Visualizing Object-Oriented Software Systems 
    Al-Msie’deen, Ra’Fat (2024-07-11)
    : Reverse engineering tools are required to handle the complexity of software products and the unique requirements of many different tasks, like software analysis and visualization. Thus, reverse engineering tools should ...
  • Text Classification on Cybercrime Cases From News Articles Using Supervised Learning 
    Farhan, Muhammad; Mutalib, Sofianita; Yusof Darus, Mohamad; Ismail, Azlan; Mokayed, Hamam; Abdul-Rahman, Shuzlina; Nizam, Muhamad (2024-07-11)
    The number of cybercrime cases has increased in this country, especially after the pandemic. The nation has created numerous strategic plans, including the introduction of the Malaysia Cyber Security Strategy (MCSS), ...
  • Reducing False Alarms in Seizure Prediction 
    Hayder Drbeeni, Ameer; Ismael Shahadi, Haider; Hameed Mohammed Taqi, Arwa (2024-07-11)
    Deep learning played a vital role in the seizure prediction challenge. Nevertheless, most studies used generic architectures that fail to consider the distinct characteristics of multivariate time-series Electroencephalography ...
  • Intent Classification in Artificial Intelligence-Based Customer Service Chatbot for E-Wallet Service Providers 
    Owen, Christopher; Suhartono, Derwin (2024-07-11)
    The rapid expansion of e-wallet services in Indonesia necessitates robust customer service to maintain competitiveness and user satisfaction. Current customer service chatbots in Indonesian e-wallet services primarily ...
  • ResNet-50 in a Mobile Application with Facial Expression Recognition for Teacher Assessment 
    Gautama Putrada, Aji; Mahmud, Dwi Sulistiyo; Richasdy, Donni; Firman Ihsan, Aditya (2024-07-11)
    Facial expression is one of the measurement metrics in teacher assessment because facial expression is a non-verbal aspect of communication, and communication is an important aspect of teaching. However, teacher assessment ...
  • Hybrid Ensemble Feature Selection Using Symmetrical Uncertainty and Multi-Layer Perceptron 
    Jagtap, Swapnali N; Potharaju, Saiprasad; . Tambe, Sagar B; Srinivas Amiripalli, Shanmuk (2024-07-11)
    Feature selection (FS) is a crucial preprocessing step in Data Mining, aimed at enhancing classification performance by identifying the most relevant features. While numerous techniques for FS exist in the literature, ...
  • Optimized Content Delivery in Vehicular Networks 
    C N, Pruthvi; Vimala, H S; Shreyas J, and (2024-07-11)
    Context: Vehicles are essential components of vehicular networks: they function as mobile nodes that exchange and disseminate vital information including emergency warnings, safety alerts, and updates on passenger enjoyment. ...
  • Integrating Computer Vision and Fusion Sensor for Object Dimensioning and Weight Measurement 
    Nur Oktaviani, Devia; Andriana Mutiara, Giva; Ryana Suchendra, Devie; Rizqy Alfarisi, Muhammad (2024-07-11)
    In the logistics industry, measuring the dimensions and weight of packages is crucial for optimizing cost expenditures, storage space, and inventory management. Traditional measurement methods often consume time and are ...
  • Recognition of Audio Source Recording Device using MFCC and RNN 
    Lalitha Narla, Venkata; Vardhini, B.Harsha; 3S.Kavitha, N.S.S.; .Ashritha, P; Geetha, M. (2024-07-11)
    Accurate identification of audio source recording devices is paramount in digital forensic investigations, including topics like copyright protection, tamper detection, and audio source forensics. This work presented ...
  • Automated Web Service Discovery and computing from public repositories through probabilistic matchmaking 
    V. Bhole, Gajanan; Devale, Dr. Prakash; Kadam, Dr. Sudhir; prabhkar, Dr. ay; Vikrant Deshmuk, Mrs. Pooja (2024-07-11)
    This Paper is an attempt to develop an efficient and comprehensive approach to web service discovery and retrieving APIs from vast repositories based on user queries and requirements and ranking the results based on ...
  • Emotion Recognition using PIZAM-ANFIS by Considering Partial Occlusion and Behind the Mask 
    S. Bedre, Jyoti; Lakshmi Prasanna, Pasupuleti (2024-07-11)
    Emotional expressions, comprising both verbal and non-verbal cues, communicate an individual's emotional state or attitude to others. To understand the complex human behavior, it is essential to analyze physical features ...
  • Machine Learning Approaches to Heart Stroke Prediction 
    V. Deshmukh, Dr. Priyanka; K. Shahade, Dr. Aniket (2024-06-30)
    The ability to predict heart strokes is required in order to promote early intervention to increase chances of preventing the individuals’ death. This study aims to know which machine learning algorithms; namely Logistic ...
  • Social Media Influencer Marketing 
    Panda, Vaishali; Mishra, Ashutosh; Kumar Kaushal*, Rajesh (2024-06-30)
    Social media influencer marketing is a very important component as a source of advertising for brands, products, or services. The reason behind this is that consumer behavior is highly influenced by the perceived ...
  • The Role of Generative AI in Natural Language Processing Applications 
    K. Shahade, Dr. Aniket; V. Deshmukh, Dr. Priyanka (2024-06-30)
    : Generative AI has evolved very quickly, and has brought major changes for natural language processing techniques. This review paper will specifically focus on exploring the many core aspects of NLP that use generative ...
  • Data Visualizations in Campus Portals 
    Manuel, Lorie Lord; Brian Zapatos, Jems; Aldema, Rodel; Wang, Weiming; Joyce Montemayor, Jennifer; Feliscuzo, Larmie; Clark Velasco, Lemuel (2024-06-30)
    Data visualization in campus portals is essential for simplifying complex data into clear and meaningful insights. This powerful tool allows complex data to be transformed into visually compelling representations, thereby ...
  • Advancing Information Retrieval 
    Patel, Vaishali; Hiran, Dilendra; Dangarwala, Kruti (2024-06-30)
    Information retrieval (IR) is booming because any application dealing with knowledge must retrieve relevant information from a huge data collection. The clustering mechanism plays a vital role in efficiently mining data ...

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