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  • Factors and Methodologies in Predicting Take-Up Rate of Internet Broadband Business: A Systematic Review and Analysis 
    Haris Kusuma Atmaja, Wahyu; Ramadhan, Arief; Trisetyarso, Agung; Abdurachman, Edi; Zarlis, Muhammad (2024-03-10)
    This study was conducted to answer three issues regarding the effort to boost broadband adoption and meet financial feasibility analysis. Kitchenham's systematic review procedure is used to review all of the articles that ...
  • Failure Predictive and Remediation System for Windows Infrastructure 
    Arun Bhanage, Deepali; Vishal Pawar, Ambika; Joshi, Aparna; G. Pawar, Rajendra (2024-02-24)
    The demand for IT infrastructures has grown due to their importance in business and everyday life. Downtime due to the unavailability of any IT infrastructure components is undesirable. Ensuring IT infrastructure's ...
  • Farm Smart 
    Bahaa, Umar; Hussein, Alaa; Luay, Hani; Sirajaldin, Shamal; Anwar, Muhamad (2024-06-30)
    We present an innovative AI-powered irrigation and plant nurture system designed to revolutionize modern agriculture and greenhouse farming. Our system meticulously monitors plant growth and health, responding dynamically ...
  • Feature Engineering for Epileptic Seizure Classification Using SeqBoostNet 
    Najmusseher; Banu P K, Nizar (2024-04-25)
    Epileptic seizure, a severe neurological condition, profoundly impacts patient's social lives, necessitating precise diagnosis for classification and prediction. This research addresses the critical gap in automated seizure ...
  • Financial Technology in Recovery: Behavioral Usage of Payment Systems by Indonesian MSMEs in the Post- Pandemic Era 
    Firstian Aldhi, Ian; Suhariadi, Fendy; Supriharyanti, Elisabeth; Rahmawati, Elvia; Hardaningtyas, Dwi (2024-04-02)
    The COVID-19 pandemic's outbreak hastened the digital transformation within Indonesian MSMEs. The crisis necessitated an immediate transition to online platforms to sustain business activities, driving many MSMEs to surmount ...
  • FingerTouchSync: Redefining Data Synchronization through Biometric Finger Touch 
    Shah, Sohil; Shah, Harshal (2024-05-19)
    The natural interface for communicating with ambient intelligence is human touch. Nevertheless, because they rely only on physical contact, existing solutions that combine wireless transmission with touch sensing are limited ...
  • Fish Classification with Machine Learning: Enhancing Accuracy and Efficiency 
    GR, Rakesh; Rohit, S; G. Raghavendra, C.; R Shetty, Prathvin; Hegde MP, Shreeshma (2024-02-24)
    Fishery sector is regarded as a sunrise sector and is expected to play a significant role in the near future. This paper emphasizes the need for a comprehensive aquaculture supervisory system that prioritizes fish ...
  • Fortifying Organizational Cyber Resilience: An Integrated Framework for Business Continuity and Growth amidst Escalating Threat Landscapes 
    Kanaan, Anas; AL-Hawamleh, Ahmad; Aloun, Mohammad; Alorfi, Almuhannad; Abdalwahab Alrawashdeh, Mohammed (2024-04-26)
    In the face of mounting cyber threats disrupting enterprises, this study emphasizes the critical role of organizational resilience in safeguarding business development and continuity. It proposes an integrated framework ...
  • FPGA Implementation of Prototype Filter Bank Multicarrier Modulator 
    Al-Haddad, Mohammed; Ziboon, Hadi Tarish (2021-06-10)
    Filter Bank Multicarrier (FBMC) is an emerging modulation technique that employs pulse shaping for improved spectral properties. However, the implementation complexity of FBMC is higher than the currently adopted modulation ...
  • From Data to Insight: Topic Modeling and Automatic Labeling Strategies 
    F. Najeeb, Rana; N. Dhannoon, Ban; Qais Alkhalidi, Farah (2024-04-26)
    Researchers usually present and synthesize their findings in scientific publications. For this reason, it is essential to analyze their substance to understand a subject. This study suggests improving the topic modeling ...
  • 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 ...

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