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  • A New Spell-Checking Approach Based on the User Profile 
    Saty, Ahmed A.; Aouragh, Si Lhoussain; Bouzoubaa, Karim (2023-05-06)
    This paper presents a new approach for spell-checking based on the user profile and that can be applied for any language. For this purpose and for the specific case of Arabic, spelling errors are studied and divided into ...
  • Optimal Brain Structural Biometric Authentication through Medical Imaging 
    Bhatnagar, Shaleen; Saxena, Aditya Kishore (2023-01-29)
    Brain is an organ which defines individuality of a human being. It is quite evident to make use of it for human biometric identification. The electrical impulses generated by the human brain while performing various tasks ...
  • Optimal Coverage Enhancement for Multiple UAVs Using Multi-agent Learning Technique 
    Sabogu-Sumah, Raymond; Opare, Kwasi A.; Gadze, James D D.; Kponyo, Jerry J.; Ahmed, Abdul-Rahman; Yeboah-Boateng, Ezer a.; Fianko, Edmund (2023-05-07)
    Robustness of terrestrial cellular wireless networks becomes challenging in times of disasters such as earthquakes. This paper studies the deployment of multiple Unmanned Aerial Vehicles (UAVs) above the earth's surface ...
  • Palmprint Authentication Technique Based on Convolutional Neural Network 
    Bachay, Firas Muneam; Abdulameer, Mohammed Hasan (2023-03-13)
    A palmprint is a small part of the palm flat that contains additional characteristics that can be used in authentication systems. It also has the property of permanence, which indicates that it will not alter through time. ...
  • Pedestrian detection in thermal and color images using a new combination of saliency network and Faster R-CNN 
    Das, Amlan J.; Choudhury, Simantika; Saikia, Navajit; Rajbongshi, Subhash (2023-05-01)
    Pedestrian detection has been an important topic of research due to its increasing demand in the surveillance based applications. Thermal and color images are used to detect pedestrian under different illumination conditions. ...
  • Performability of Deep Recurrent Neural Networks for molecular sequence data 
    Kotkondawar, Roshan R.; Sutar, Sanjay R; Kiwelekar, Arvind; Wankhede, Hansraj S. (2023-05-06)
    Artificial Intelligence (AI) has appeared as a life-changing innovation in recent years transforming the conventional problem-solving strategies adopted so far. Machine Learning (ML) and Deep Learning (DL) approaches are ...
  • Performance Enhancement of Eulerian Video Magnification 
    Shahadi, Haider Ismael; Al-allaq, Zaid Jabbar; Albattat, Hayder Jawad; Farhan, Hameed Rasool (2023-03-13)
    In this study, a linear and phase-based Eulerian video magnification (EVM) methods are developed to minimize magnified noises and processing time. The developed approaches utilize the Lanczos resampling algorithm to reduce ...
  • Performance Improvement of Convolutional Neural Network Architectures for Skin Disease Detection 
    Ahmed, Hasan Maher; Kashmola, Manar Younis (2023-02-28)
    Convolutional neural networks are one of the most important techniques used in classification processes, specifically digital image classification. In this paper, work has been done to apply a set of different deep CNN ...
  • Performance Improvement of Shunt Active Power Filter using Modified Hysteresis Current Controller 
    Singh, Rambir; Kumar, Pradeep; Singh, Asheesh K.; Tiwari, A. N. (2023-01-29)
    Shunt active power filters (APFs) have emerged as a potential player to address power quality issues imposed by exponentially increasing nonlinear loads.The shunt APF used in this work is essentially a three-phase, ...
  • Philippine Banknote Counterfeit Detection through Domain Adaptive Deep Learning Model of Convolutional Neural Network 
    B. Alejo, Marwin; Lawrenz D. Villanueva, Josh; Philip E. Garchitorena, Marcus; C. Reyes, Shannen; Michael B. Delos Reyes, John; Adonis L. Marasigan, Quinne (2021-08-23)
    Money counterfeiting is the illegal duplication of any currency for the use of deceiving any entity in exchange for a real-world value. Due to the advancements in computer vision in digital computing and the ill-effects ...
  • Planet Adventures: An Augmented Reality Game using Facial Emotion Recognition 
    Aaliq Moin, Aaliq; Kolli, Lohitha; Sistla, Venkatramaphanikumar; Krishna Kishore Kolli, Venkata (2021-08-22)
    Augmented reality is now on the forefront of technological advancements around the world with major consumer electronic companies like Apple, Microsoft, Ninatic, Lucyd, Augmented Reality Labs etc., investing in it to develop ...
  • A Posit based Handwritten Digits Recognition System 
    Kumar, Nitish (2023-04-30)
    This paper presents a novel design of a Posit-based handwritten digits recognition system, one of the convolutional neural network applications. Herein, LeNet and ResNet-18 based HDRS (Handwritten Digits Recognition System) ...
  • Predicting Future Global Sea Level Rise From Climate Change Variables Using Deep Learnin 
    Hassan, Kazi Md. Abir (2023-02-28)
    Rapid climate change accelerates global temperature rise, causing thermal expansion of seawater and melting of ice-based lands, such as ice sheets and glaciers; these anomalies eventually result in global sea level rise. ...
  • Prerequisites for the Phenomenon of Global Digitalization and its Features in Russia 
    Metechko, Lyudmila B.; Sorokin, Andrey E. (2023-03-16)
    The article is devoted to the digitalization of the economy, which inevitably follows from the analysis of the evolution and complexity of the technosphere, leading to a qualitative change in commodity production and the ...
  • Public Hospital Review on Map Service with Part of Speech Tagging and Biterm Topic Modeling 
    Makruf, Moh; Bramantoro, Arif (2023-03-02)
    Health is a basic human need. Increasing standard of life influences the quality of health. It demands health service providers improve quality better service and provide satisfaction for consumers as health care users. ...
  • Recommendation Systems: Types, Applications, and Challenges 
    Patel, Dhruval; Patel, Foram; Chauhan, Uttam (2023-02-28)
    Recommendation Systems help users select appropriate products or services from a wide range of choices. Thus, It solves the problem of information overload upto a remarkable extent. Specifically, It is highly applicable ...
  • Reinforcement Learning based Optimized Multi-path Load Balancing for QoS Provisioning in IoT 
    Jeaunita, T. C. Jermin; V, Sarasvathi (2023-01-29)
    In an IoT system, to achieve optimization, performance should be an equal concern along with satisfying the growing requirements and demand of solutions, for real time, especially time critical applications. Some of these ...
  • Reinforcement Learning: A review 
    Moussaoui, Hanae; El akkad, Nabil; Benslimane, Mohamed (2023-05-07)
    Reinforcement learning is considered a sort of machine learning that acquires knowledge of solving problems using the trial-and-error technique. The process starts with the main actor that is the agent interacting with a ...
  • A Review on Deep Learning Solutions for Steganalysis 
    Gupta, Ankita; Chhikara, Rita; Sharma, Prabha (2023-03-02)
    Steganalysis methods have developed to attack steganography, a technique used to hide secret information in a digital media. The traditional way of steganalysis is performed as feature extraction followed by classification. ...
  • A Robust Iris Recognition Approach Based on Transfer Learning 
    HATTAB, Abdessalam; BEHLOUL, Ali (2023-03-02)
    Iris texture is one of the most secure biometric characteristics used for person recognition, where the most significant step in the iris identification process is effective features extraction. Deep Convolutional Neural ...

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