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996 articles for “learning technology”
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Uni-Connect: A Unified Platform for Empowering Student and Researchers Projects Online
Abstract: In contemporary educational landscapes, the fusion of technology and pedagogy has become imperative to foster innovative learning environments. This research paper delves into the realm of Uni-Connect, a pioneering online platform meticulously designed to revolutionize student project dynamics through the seamless integration of digital resources and collaborative tools. Uni-Connect serves as a beacon of empowerment, facilitating enhanced coordination, communication, and resource management among student project teams. By amalgamating project management …
Published in Journal of Software Engineering Tools & Technology Trends · Vol. 11, Issue 3, 2024 · pp. 38–46 Read article
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Affordable Automation: Strategies for Cost Reduction and Efficiency Improvement in Daily Robotics
Abstract: The study examined how robotics technologies can increase productivity in industries. As we all know, artificial intelligence (AI) is on the rise in the market, and industries are becoming increasingly reliant on AI to handle multifaceted tasks. Robotics is one of the most prominent fields in manufacturing and science, where engineers are focusing on developing robots that can perform specific tasks and deliver accurate results. As technology progressed, by 2005, …
Published in International Journal of Robotics and Automation in Mechanics · Vol. 3, Issue 1, 2025 · pp. 7–16 Read article
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Natural Language Processing in Education: A Review of Applications, Challenges, and Future Directions
Abstract: Natural Language Processing (NLP) has increasingly become a transformative force within the field of education, offering innovative solutions and reshaping traditional methods of teaching, learning, assessment, and educational research. This review explores the evolving landscape of NLP applications in education, shedding light on significant advancements, ongoing challenges, and emerging opportunities. The integration of NLP into intelligent tutoring systems has enabled more personalized learning experiences, while automated assessment tools have enhanced …
Published in International Journal of Computer Science Languages · Vol. 3, Issue 2, 2025 · pp. 11–18 Read article
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Orchestration of Robotic Platform and Implementation of Adaptive Self-Learning Neuro-Fuzzy Controller
Abstract: AbstractThe paper presents design, development and implementation of a robotic platform based on orchestration model. An orchestration model helps the user to reuse the services and provide easy porting from robot to robot with reduced project development time. Orchestration of Robotic Platform (ORP) is simple and based on open source Arduino architecture. The hardware of platform consists of sensors, actuators and Arduino board. The software deploys orchestration-programming model. An Adaptive …
Published in Journal of Electronic Design Technology · Vol. 8, Issue 3, 2017 · pp. 17–29 Read article
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Deployment Of Communication and Digital Technology for Handling Insecurity and Environmental Challenges In Nigeria
Abstract: There are so many challenges in Nigeria that require the input of digital technology and communication information technology (ICT). This paper x-rays the deployment of communication and digital technology for the eradication of insecurity and environmental issues such as cybercrime, kidnapping, flooding, water pollution, climate change, poor waste management and oil spillage. The methodology adopted includes secondary data from literature and expert opinions. Challenges identified include insecurity issues; Crime and …
Published in Journal of Energy, Environment & Carbon Credits · Vol. 12, Issue 3, 2022 · pp. 17–27 Read article
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Airline Reservation System
Abstract: An Airline Reservation System is vital on the grounds that it has the solid capacity to diminish blunders that may have happened when utilizing a manual arrangement of reservation and assists speed with increasing the boarding cycle. Carrier reservation system is an electronic framework used to store and recover data and go through with exchanges identified with air travel. The venture is pointed toward uncovering the significance and significance of …
Published in Journal of Communication Engineering & Systems · Vol. 11, Issue 2, 2021 · pp. 1–7 Read article
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Effectiveness of Computer-assisted Instruction among Student Nurses
Abstract: Technology plays a major role in our teaching and learning strategies. Computer-assisted instruction (CAI) is an innovative resource for teaching content in a controlled environment focusing on individualized learning. So the study to evaluate the effectiveness of computer-assisted instruction developed on immunization program was conducted among student nurses of selected colleges of nursing of Delhi. It was an evaluative research with pre-test, post-test single group design. The study population included …
Published in Journal of Nursing Science & Practice · Vol. 3, Issue 3, 2013 · pp. 6–9 Read article
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Effectiveness of Computer-assisted Instruction among Student Nurses
Abstract: Technology plays a major role in our teaching and learning strategies. Computer-assisted instruction (CAI) is an innovative resource for teaching content in a controlled environment focusing on individualized learning. So the study to evaluate the effectiveness of computer-assisted instruction developed on immunization program was conducted among student nurses of selected colleges of nursing of Delhi. It was an evaluative research with pre-test, post-test single group design. The study population included …
Published in Journal of Nursing Science & Practice · Vol. 3, Issue 1, 2013 · pp. 6–9 Read article
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A Study of Hand Gesture Identification with Convolution Neural Network
Abstract: Human-Computer Interaction is the study of how the people interact with machine. Hand gesture technology is active research in computer vision and machine learning. Hand gesture recognition is used enormously in the recent years for Human Computer Interaction (HCI). In this research work, we study about hand gesture identification with machine learning technique. Basically implementation of hand gesture identification has three phases: Preprocessing, Feature extraction, and Classification. This study includes …
Published in Recent Trends in Programming languages · Vol. 8, Issue 1, 2021 · pp. 30–34 Read article
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AI-Powered Drug Delivery: Revolutionizing Formulation Science
Abstract: Artificial Intelligence (AI) is emerging as a groundbreaking tool in revolutionizing Drug Delivery Systems (DDS), offering promising advancements in precision, efficiency, and personalized treatment strategies. The integration of AI technologies into pharmaceutical research and development is transforming how drugs are formulated, delivered, and monitored in real time. By leveraging machine learning algorithms and data analytics, researchers can design drug delivery models that are not only more effective but also tailored …
Published in Trends in Drug Delivery · Vol. 13, Issue 1, 2026 · pp. 48–61 Read article
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AI-Driven Exam Grading, Percentile Calculation, and Plagiarism Detection System for Educational Integrity
Abstract: The influence of artificial intelligence (AI) on academic evaluation has become increasingly significant, particularly in areas such as automated grading, large-scale content analysis, and plagiarism detection. These technologies provide educators with rapid processing, consistent scoring, and timely feedback that can support both teaching and learning. However, alongside these advantages, serious concerns have emerged regarding the reliability and fairness of AI-driven assessments. The growing presence of AI-generated content has further complicated …
Published in Current Trends in Information Technology · Vol. 16, Issue 1, 2025 · pp. 07–12 Read article
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Emerging Trends in 5G and Beyond-5G Wireless Networks
Abstract: Wireless networks have evolved in the blink of an eye from 4G to 5G and are progressing towards beyond-5G (B5G) frameworks, leading to revolutionary changes in connectivity, speed, and network smarts. This review discusses trending features, challenges, and future trends of 5G and B5G wireless communications technologies. It presents chief goals of 5G, such as ultra-low latency, high spectral efficiency, massive machine-type communication, and up to 10 Gbps user data …
Published in Journal of Telecommunication, Switching Systems and Networks · Vol. 12, Issue 3, 2025 · pp. 11–19 Read article
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Tensor-Flow Based Approach to Identify Author of the Text
Abstract: Now-a-days a lot of content is available on internet, and people upload lot of information in form of opinion, review, description, recipe etc. online. In such scenario to trace the authenticity of the data, it is necessary to develop an author identification system. It has become a difficult problem in the scope of unnamed information has increased with fast growing Internet life. It is a process to identify author of …
Published in Current Trends in Information Technology · Vol. 8, Issue 3, 2018 · pp. 23–29 Read article
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Security Operations Centers (SOCs) must interpret large volumes of alerts, logs, endpoint events, identity signals, threat intelligence, and cloud activity while responding quickly to incidents. Conventional automation reduces repetitive work, but it often depends on fixed rules and separate tools that still require analysts to assemble context manually. This review presents a practical framework for AI (Artificial Intelligence) agent-based security copilots that combine large language models, machine learning, retrieval-augmented generation (RAG), security analytics, and controlled tools used to support SOC teams. The proposed design uses specialized agents for alert triage, investigation, threat intelligence, detection engineering, response planning, and reporting, coordinated by an orchestration layer. Agents can collect evidence, summarize events, map behaviors to attack techniques, suggest hypotheses, and prepare response actions, but high-impact changes remain subject to human approval. The framework also emphasizes trustworthy operation through evidence citation, least-privilege access, policy gates, audit logs, prompt-injection resistance, privacy controls, and continuous evaluation. Electrical and electronics relevance is included through monitoring of Internet of Things devices, industrial control systems, programmable logic controllers (PLC), edge gateways, sensors, firmware, and operational technology (OT) networks. Recent research and industry practice indicate that large language models and autonomous agents can improve security workflow automation, while important limitations remain around hallucination, data leakage, adversarial manipulation, excessive agency, and model drift. The paper therefore treats the security copilot as an analyst augmentation layer rather than an unsupervised replacement for professional judgment.
Abstract: Security Operations Centers (SOCs) must interpret large volumes of alerts, logs, endpoint events, identity signals, threat intelligence, and cloud activity while responding quickly to incidents. Conventional automation reduces repetitive work, but it often depends on fixed rules and separate tools that still require analysts to assemble context manually. This review presents a practical framework for AI (Artificial Intelligence) agent-based security copilots that combine large language models, machine learning, retrieval-augmented generation …
Published in Journal of Telecommunication, Switching Systems and Networks · Vol. 13, Issue 3, 2026 Read article
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Vocational Education in Higher Secondary Schools: A Review of Factors Influencing Student Interest and Attitudes
Abstract: The study investigates the essential aspects influencing students' motivation and attitudes toward vocational education in higher secondary schools, emphasizing its changing importance in current educational systems. Vocational education, which focuses on hands-on training and real-world applications, is critical in closing the gap between academic learning and the labor market. Despite its promise to promote employment, diversity, and economic development, vocational education faces considerable obstacles, such as societal stigma, insufficient resources, …
Published in International Journal of Education Sciences · Vol. 2, Issue 2, 2025 · pp. 1–10 Read article
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Quantum Leaps: How Quantum Computing Shapes the Evolution of Artificial Intelligence
Abstract: Quantum computing leverages quantum mechanical phenomena to enable powerful new forms of computation. With the ability to dramatically exceed the capabilities of classical supercomputers on select complex problems, many researchers anticipate revolutionary impacts of quantum computing on a variety of fields, including artificial intelligence. This research proposal outlines an investigation analyzing the intersection of quantum computation and artificial intelligence. The key research questions explore how quantum algorithms and hardware may …
Published in Recent Trends in Parallel Computing · Vol. 10, Issue 3, 2023 · pp. 7–17 Read article
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E- Content Development and Management: Initiatives of INFLIBNET
Abstract: In this information age, students now a days preferring E-learning instead of classroom learning. Now a day’s every student has an access to internet through any electronic device. Hence access to E content is very easy and much more feasible as compared to the traditional way of learning. Government of India is also taking initiatives for implementing new technologies in higher education. Smart classrooms are developed in each and every …
Published in Journal of Advancements in Library Sciences · Vol. 6, Issue 1, 2019 · pp. 284–289 Read article
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Innovative Approaches to Reducing Data Traffic in IoT Networks Using Deep Learning and Compressive Sensing
Abstract: The exponential growth of internet of things (IoT) devices has posed unprecedented challenges in managing the massive data generated by real-time monitoring, automation, and analytics. Existing network infrastructures lack scalability, bandwidth, and suffer from latency problems, further making data transmission less efficient. This study surveys innovative approaches using deep learning and compressive sensing to reduce IoT data traffic. Deep learning is able to upgrade data processing by means of very …
Published in International Journal of Satellite Remote Sensing · Vol. 2, Issue 2, 2024 · pp. 46–62 Read article
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Google Classroom as a Tool for Effective Teaching, Learning and Information Delivery Systems
Abstract: Active teaching and learning activities is one of the important aspect in higher education. Technology has gained immense importance in all stages of education but faculties have not been able to find out which of the many available technological tools useful for their classroom activities. On the other hand, Students should able to see concept dealt in action and relate theory more closely to reality. However, the students’ reaction is …
Published in Journal of Advancements in Library Sciences · Vol. 6, Issue 1, 2019 · pp. 400–405 Read article
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Thin Film Technology in Sensor Manufacturing – A Technical Discussion
Abstract: Thin‑film technology has become the cornerstone of modern sensor manufacturing, enabling the convergence of miniaturisation, multifunctionality, and cost‑effective mass production. This paper surveys the latest advances in deposition techniques—ranging from magnetron sputtering and chemical vapour deposition to atomic‑layer deposition (ALD) and ink‑jet‑printed sol‑gel processes—and examines how their unique material‑control capabilities translate into performance gains across the sensor spectrum (chemical, physical, and bio‑sensing). By integrating nanoscale thickness control (≤ 10 nm) …
Published in Journal of Thin Films, Coating Science Technology & Application · Vol. 13, Issue 1, 2026 · pp. 47–57 Read article