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  • A FUSION Features Selection for 802.11 Wireless Intruder Detection System (WIDS) 
    Baharudin, Norzaidi; Hani Mohd Ali, Fakariah (2023-09-20)
    In this paper, we introduce FUSION (Feature Unification via Selection, Integration, and Optimization in Networks), an innovative approach amalgamating various methods for optimal feature selection in wireless intruder ...
  • Fusion of AI Methods for Enhanced Plant Leaf Disease Classification 
    Ashtagi, Rashmi; M. Jaybhaye, Sangita; Mohite, Sagar; Musale, Vinayak; Chinchmalatpure, Sheela; Bidwe, Ranjeet (2024-06-03)
    Plant leaf disease classification is essential to save the global food supply and boost agricultural productivity. Some new advancements in this field have improved this diagnosis with efficiency and accuracy. In this work, ...
  • Fuzzy Facial Expression Recognition and Recommendation System 
    Ul Haq, Inam; Ifraheem, Sehrish; Zulfiqar, Sidra; Farwa, Ume; Shaukat, Shumaila (2023-09-20)
    We can use Facial Expression Recognition (FER) to detect human behavior. We have several ways of measuring human behavior in various situations, such as hand gestures and others, but facial recognition is the best at the ...
  • Fuzzy Model of NP-Hard Problem: Uncertainty Causes for Identifying Best Goalkeepers 
    S Metkewar, P; Mukunde Deshpande, Nilkanth; Irfan Yaqoob, Syed (2024-06-09)
    Computational issues have been sorted in feasible, to some extent resolvable and unsolvable. Classes including P, NP, NP-complete and NP-Hard are utilized to group the given issue in light of intricacy of the issue. As of ...
  • Generative Adversarial Networks for Facial Expression Recognition in the Wild 
    Alharbawee, Luma; Pugeault, Nicolas (2024-01-09)
    The task of modeling and identifying people’s emotions using facial cues is a complex problem in computer vision. Normally we approach these issues by identifying Action Units (AUs), which have many applications in Human ...
  • A Generative Encoder-Decoder Model for Automated Quality Control Inspections 
    Mekhilef, Khedidja; Abbas, Fayc¸al; Hemam, Mounir (2024-04-25)
    This paper introduces a novel generative model based on an encoder-decoder architecture for defect detection within Industry 4.0 frameworks, focusing on the escalating need for automated quality control in manufacturing ...
  • A Gesture Based Virtual Mouse 
    El magrouni, Issam; Ettaoufik, Abdelaziz; Siham, Aouad; Maizate, Abderrahim (2024-06-05)
    Our work delves into the complexities of real-time hand motion interpretation and fingertip recognition to simulate the functionality of a traditional mouse. We have developed a technique in Python that effortlessly ...
  • Glaucoma Detection Using Computer Vision and Vision Transformers 
    Karrothu, Aravind; Chunduru, Anilkumar (2023-07-14)
    Vision is one of the gifts from nature to humans. It stores visual messages and signals to the brain. Glaucoma is a high-pressure genetic disorder that relates to the human eye. It is a chronic disease often called ...
  • Glaucoma Eyes Disease Identification: Using Vgg16 Model throughDeep Neural Network 
    C. Gandhi, Vaibhav; P. Gandhi, Priyesh (2024-03-10)
    Due to a rise in intraocular pressure, diabetes can potentially induce glaucoma, an optic nerve disease. Severe vision loss may result from the condition if it is not identified promptly. Artificial intelligence can be ...
  • Graph Processing Systems: A Comprehensive Review with Emphasis on Graph Mutations 
    Firmli, Soukaina; Chiadmi, Dalila (2024-01-02)
    The growing need for managing extensive dynamic datasets has propelled graph processing and streaming to the forefront of the data processing community. Coping with the sheer volume, intricacy, and continual evolution of ...
  • Graph-Based Rumor Detection on social media Using Posts and Reactions 
    R, Nareshkumar; K, Nimala; R, Sujatha; Banu S, Shakila; P, Sasikumar; P, Balamurugan (2024-01-07)
    In this article, researchers deliver a novel method that makes use of graph-based contextual and semantic learning to detect rumours on online social media. The basic premise is that social media entities are connected, ...
  • Green Computing and Energy-Efficient Algorithms for Sustainable Computing 
    Rodrigues, Mathias Pascoal (2023-07-18)
    The demand for computing resources is growing, along with concern for the environment. In response, green computing has emerged in an effort to establish sustainable computing. This abstract aims to highlight the key ...
  • Halal Supply Chain Risk using Unsupervised Learning Methods for Clustering Leather Industries 
    Kurniawan, Rahmad; Lestari, Fitra; Mawardi; Nurainun, Tengku; Abdul Hamid, Abu Bakar; Melia , Tisha (2024-01-02)
    Cowhide plays a significant role in Indonesia’s culinary and leather industries. It caters to the preferences of a predominantly Muslim population that emphasizes halal products. Regulatory authorities must understand its ...
  • HandloomGCN: Real-time handloom design generation using Generated Cellular Network 
    Das, Anindita; Deka, Aniruddha (2024-03-14)
    Handloom design creation, deeply rooted in cultural heritage, has traditionally relied on manual craftsmanship. The individual minds are conditioned to biased and coming up with combine aesthetics of non-handloom designs ...
  • Harnessing Deep Learning for Early Breast Cancer Diagnosis: A Review of Datasets, Methods, Challenges, and Future Directions 
    Ben Ammar, Marwa; Faten Labbene Ayachi; Cardoso de Paiva, Anselmo; Ksantini, Riadh; Mahjoubi, Halima (2024-01-09)
    Breast cancer is the most common kind of cancer diagnosed worldwide and the leading cause of cancer-related deaths among women, therefore it presents a significant public health risk. Therefore, early identification and ...
  • Harnessing Deep Learning for Early Detection of Cardiac Abnormalities 
    Annadate, Prutha; Bedekar, Mangesh; Annadate, Mrunal (2024-05-17)
    Sudden Cardiac Arrests (SCAs) are potentially fatal situations that strike suddenly, frequently without warning, and can have dire repercussions if left untreated. These incidents result in an abrupt loss of heart function ...
  • High Impedance Fault Detection in Microgrid to Enhance Resiliency Against PMU Outage 
    Solankee, Laxman; Rai, Avinash; Kirar, Mukesh (2023-08-14)
    High-impedance fault (HIF) detection is crucial for maintaining the reliability and resiliency of microgrid systems. This research presents an adaptive machine learning approach to enhance HIF detection and improve ...
  • High-Fidelity Machine Learning Techniques for Driver Drowsiness Detection 
    Essel, Ebenezer; Abdelhamid, Abeer; Darwich, Mahmoud; Khalifa, Fahmi; Lacy, Fred; Ismail, Yasser (2024-03-23)
    It is devastating that daily, there is an ample number of car crashes that cause damage to automobiles, onboard passengers get injured, and others tend to lose their lives. Road crashes are fast rising across the globe ...
  • Human Multimodal Biometric Recognition Using Rationalized Adaboost andGeometric Curvelet 
    Gunasekaran, K; Raja, J; Pitchai, R; Dhurgadevi, M (2024-01-02)
    Multimodal biometrics combines a diversity of biological traits in an attempt to produce a notable influence on identification performance. In recent years, multimodal biometric recognition using machine learning algorithms ...
  • Hybrid Approach to Instance Matching 
    B, Vijaya; Gharpure, Prachi (2024-03-23)
    The proliferation of web data and the advent of extensive knowledge graphs have led to the creation of vast volumes of disconnected data, resulting in data silos. Integrating and sharing web data across diverse domains ...

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