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152 articles for “mobile learning”
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Malware Detection Using Data Mining
Abstract: In the digital world, everything is getting digitalized. Mobile devices, such as smartphones and handsets, are becoming increasingly popular, increasing criminals' appeal as targets for mobile malware. Consequently, in order to properly identify mobile malware, an antimalware detector plays a significant role. Prior to this, we concentrated on developing a behavioural analysis based on an ontology. To learn more about mobile malware, to assist end users in using their mobile …
Published in Journal of Advances in Shell Programming · Vol. 9, Issue 3, 2022 · pp. 9–13 Read article
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Education, Jobs, and Social Mobility after Super- intelligent AI
Abstract: Artificial Intelligence (AI) is moving quickly from a supporting tool to systems that can learn, decide, and act with very little human help. In the coming years, if Super intelligent AI becomes common, it can strongly affect education, employment, and social mobility. This paper explains these changes in a simple way, focusing on how powerful language-based AI can reshape learning and work. In education, AI can provide personalized learning plans, …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 13, Issue 3, 2025 Read article
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Mechatronics Robot Navigation using Machine Learning through Prolog Programming Language
Abstract: A basic decision-making system is developed in this paper using Neural Network in Machine learningto explore a robot in concealed condition. The robot can move out of explicit labyrinths effectivelythrough modifying its bearing and speed persistently via the neural system model for machinelearning. Over the past several years, navigation tasks for mobile robots have been widely studied.There have been many attempts to introduce the usage of machine learning algorithms. Excellentperformance …
Published in Journal of Mechatronics and Automation · Vol. 8, Issue 1, 2021 · pp. 39–47 Read article
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Enhancing Facial Recognition: Assessing CNNs for Detecting Image Manipulation
Abstract: Deepfake technology, powered by highly advanced deep learning models, has raised significant concerns regarding media manipulation, identity theft, and the spread of online disinformation. Due to the increasing sophistication of deepfake content, traditional forensic methods often fail to detect such artificially generated images with high accuracy. Consequently, deep learning-based approaches have become essential in combating this challenge. This study compares six prominent deep learning architectures: VGG16, ResNet50, MobileNetV2, InceptionV3, EfficientNetB0, …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 12, Issue 2, 2025 · pp. 27–36 Read article
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Quiz Application: A Review
Abstract: Educational tools are evolving in the digital age to cater to the needs of diverse learners. Among these tools, quiz applications have emerged as a popular and effective method for enhancing learning engagement. This study explores the significance of quiz applications in education, focusing on their impact on student motivation, knowledge retention, and overall learning outcomes. Quiz applications offer several benefits over traditional learning methods. To begin with, they provide …
Published in Recent Trends in Programming languages · Vol. 12, Issue 1, 2025 · pp. 16–25 Read article
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Trust Based Deep Learning Model for Women Information Security Improvement in LBS
Abstract: The pervasiveness of mobile devices equipped with positioning proficiencies has managed to the emergence of frequent location-based applications and services. A huge fraction of the information sought is related to the current women position. This comprises queries for nearby medical services, specialized stores, social activities and groups, and others. In general, location-based service (LBS) operators are expected to be trusted parties that preserve the user’s privacy. Due to the sensitive …
Published in Journal Of Network security · Vol. 7, Issue 1, 2019 · pp. 18–23 Read article
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A Comparative Study of Transfer Learning-Based Deep Learning Models for Breast Cancer Detection
Abstract: Breast cancer is a major concern in the world today, and early and accurate diagnosis is most crucial in the case of breast cancer, as it is among the disorders where the total cost of loss of life is high. Traditional screening processes are subjective and vulnerable to inter-observer reliability issues and diagnostic errors, being primarily based on manual interpretation of medical images. To address these limitations, Deep Learning (DL) …
Published in Research and Reviews : A Journal of Medical Science and Technology · Vol. 15, Issue 1, 2026 · pp. 24–34 Read article
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IoT-Driven Accident Alert and Rescue Management System for Smart Mobility
Abstract: An IoT-enabled vehicle accident detection and rescue system is a modern approach aimed at improving road safety by identifying collisions as they occur and facilitating quick emergency assistance. Traffic accidents remain a major cause of death across the globe, and the lack of timely medical help frequently intensifies the severity of injuries. This system leverages the power of the Internet of Things (IoT) to monitor a vehicle's dynamics and detect …
Published in Journal of Communication Engineering & Systems · Vol. 16, Issue 1, 2026 · pp. 01–05 Read article
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A Technical Blueprint for AI-Driven Localization in 6G Mobile Networks
Abstract: The advent of sixth-generation (6G) wireless systems promises unprecedented spatial resolution, ultra-low-latency, and pervasive connectivity, turning mobile localization from a peripheral service into a core enabler of immersive extended reality (XR), autonomous logistics, and digital twins. Yet, the sheer scale of dense terahertz (THz) deployments, the stochastic nature of reconfigurable intelligent surfaces (RIS), and the dynamic interference landscape render traditional model-based positioning techniques inadequate. This work investigates how artificial intelligence …
Published in Journal of Mobile Computing, Communications & Mobile Networks · Vol. 13, Issue 1, 2026 · pp. 26–34 Read article
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Deployment of Fi-Wi Networks Using Teaching Learning Based Optimization Algorithm
Abstract: AbstractThe demand of bandwidth and mobility to end users is ever increasing. For fulfilling this, fiber-wireless (Fi-Wi) networks are designed by integrating the advantages of optical and wireless networks. Optical networks offer high bandwidth and stability while wireless networks offer cost efficiency and mobility. With these advantages, Fi-Wi networks also offer some challenging issues. There are four key issues in Fi-Wi networks, that are ONU placement, routing, energy saving and …
Published in Journal of Communication Engineering & Systems · Vol. 7, Issue 2, 2017 · pp. 14–26 Read article
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E-Learning: Courseware, MOOCs, SWAYAM, E-PG PATHSHALA
Abstract: E-Learning means, a learning system by using E-Resources basically a computer, computer networks, multimedia mobiles are major components of this system E-Learning systems offer it's a great feature of "any time anywhere" to the Lerner which is unique identity of this system. In India, Government of India Ministry of Human Resource Department, Department of Higher Education, IIT sectors, AICTE involves in design, a development providing qualitative e-learning online courses such …
Published in Journal of Advancements in Library Sciences · Vol. 6, Issue 1, 2019 · pp. 320–327 Read article
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Role of Medical and Assistive Robotics for Next Generation Healthcare
Abstract: The integration of medical and assistive robotics into healthcare systems is revolutionizing the landscape of patient care and quality of life, heralding the dawn of Next Generation Healthcare. This study explores the multifaceted role of these innovative technologies in reshaping the healthcare paradigm, from diagnosis and treatment to rehabilitation and daily living assistance. Medical robotics, a rapidly evolving field, has led to the development of precision surgical tools, telemedicine platforms, …
Published in Journal of Advancements in Robotics · Vol. 10, Issue 2, 2023 · pp. 1–9 Read article
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Channel Prediction and Estimation Based on Machine and Deep Learning Techniques: A Review
Abstract: Channel prediction estimation in the high- speed mobile environment is a hot issue for 3D massive multiple input multiple output (MIMO) millimeter-wave (mmWave) system. In this environment, the channel has fast time-varying and non-stationary characteristics. And its time-domain correlation coefficient is a time- varying parameter, which makes it difficult for traditional channel estimation methods to capture the channel variations over time and achieve ideal channel estimation performance. A known signal, …
Published in Journal of Telecommunication, Switching Systems and Networks · Vol. 10, Issue 3, 2023 · pp. 13–17 Read article
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Development of a Low-Cost Autonomous Robot for Obstacle Avoidance Using Ultrasonic Sensing
Abstract: In the evolving landscape of automation, autonomous mobile robots are becoming critical for performing tasks with minimal human intervention. This project presents the design and development of a cost-effective, small-scale obstacle-avoiding robot using an Arduino microcontroller and an ultrasonic sensor. The robot operates by scanning its surroundings, identifying nearby obstacles, and navigating by altering its path in real time. Through intelligent programming and sensor integration, the system achieves smooth, collision-free …
Published in Journal of Advancements in Robotics · Vol. 13, Issue 1, 2026 · pp. 1–11 Read article
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Machine Learning-Based Channel Estimation in 5G, Beyond-5G, and 6G Networks: Recent Advances and Future Directions
Abstract: Accurate channel estimation is one of the most fundamental challenges in modern wireless communication systems. In fifth- generation (5G) New Radio (NR) and emerging sixth-generation (6G) networks, precise knowledge of the wireless channel is essential for achieving reliable data transmission, high spectral efficiency, and low Bit Error Rate (BER). Conventional estimation techniques such as Least Squares (LS) and Minimum Mean Square Error (MMSE) rely on mathematical channel models and predefined …
Published in Journal of Telecommunication, Switching Systems and Networks · Vol. 13, Issue 2, 2026 Read article
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Multimodal Data Fusion with Hybrid Machine Learning for Enhanced Prediction of Li-Ion Battery Remaining Useful Life and State of Charge
Abstract: Lithium-ion battery materials used in modern energy storage systems are required to exhibit high reliability, safety, and long lifecycle performance under varying operational and environmental conditions. Accurate prediction of Remaining Useful Life (RUL) and State of Charge (SoC) is therefore essential for understanding material degradation behavior, improving manufacturing quality, and enabling effective lifecycle management. However, nonlinear electrochemical aging, load variability, and thermal uncertainty significantly complicate accurate estimation of these parameters. …
Published in International Journal of Electro-Mechanics and Material Behaviour · Vol. 4, Issue 1, 2026 · pp. 11–23 Read article
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Cloud Enabled Machine Learning Framework for Medicine System
Abstract: The Medicine Generic App is a cutting-edge mobile application designed to empower users with information about generic medications. Given the rising expenses of healthcare and prescription medications, this app acts as a useful resource for consumers to make informed decisions regarding their medication options. The Medicine Generic App aims to promote generic drug usage, reduce healthcare costs, and improve medication management for users. By providing detailed information and price transparency, …
Published in International Journal of Mobile Computing Technology · Vol. 3, Issue 1, 2025 · pp. 1–6 Read article
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DC Motor Control using Deep Reinforcement Learning for Enhanced Robustness and Precision
Abstract: DC motors remain the workhorse of industrial automation and mobile robotics, but achieving simultaneous high-speed transient response and negligible steady-state error under variable load conditions continues to challenge classical Proportional-Integral-Derivative (PID) controllers. These model-dependent systems often require extensive tuning and struggle to maintain optimal performance when confronted with parametric uncertainties, non-linear friction, or sudden voltage fluctuations. This study presents a novel, model-free control paradigm utilizing Deep Reinforcement Learning (DRL)—specifically, a …
Published in International Journal of Electrical Machine Analysis and Design · Vol. 3, Issue 2, 2025 · pp. 22–29 Read article
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Cybersecurity in Web Automation: A Machine Learning Approach to Lightweight Intrusion Detection
Abstract: Launch-Attack is a lightweight and practical threat-detection framework designed specifically for smaller web-automation environments, including setups that rely on tools such as Selenium. Rather than aiming to replace large enterprise-grade security platforms, the framework focuses on offering an accessible option for developers, testers, and researchers who need real-time monitoring without the heavy resource demands of traditional systems. The model relies on machine-learning techniques implemented through Scikit-learn, enabling it to detect …
Published in Journal of Web Engineering & Technology · Vol. 13, Issue 1, 2026 · pp. 34–40 Read article
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Integrating Advanced Technologies for the Scientific Revalidation of Ayurvedic Principles
Abstract: Background: Ayurveda, a 5,000-year-old holistic healthcare system, emphasizes the dynamic balance of body, mind, and spirit. Recent advancements in science and technology have accelerated its integration into global healthcare systems. Objective: This paper explores the contribution of modern tools and methodologies to the scientific validation and enhancement of Ayurvedic principles across education, clinical practice, and research. Methods: A comprehensive literature review was conducted using databases like PubMed, Google Scholar, and …
Published in Research and Reviews: A Journal of Medicine · Vol. 16, Issue 1, 2026 · pp. 1–6 Read article