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996 articles for “learning technology”
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Carbon-Aware Autonomous AI Systems: Reinforcement Learning for Sustainable Cloud and Edge Computing
Abstract: The field of communication and information technology is expanding quickly. Because of this, a significant amount of carbon emissions are produced by cloud data centres and edge computing nodes. In fact they are now responsible for 3 to 4 percent of the worlds total greenhouse gas emissions. Most of the time people who manage these resources focus on how they are working and how quickly they can get things done.. …
Published in Journal of Energy, Environment & Carbon Credits · Vol. 16, Issue 2, 2026 Read article
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Using Artificial Intelligence for The Design of Polymeric Drug Delivery Systems
Abstract: AI is cost effective and time efficient process. Artificial intelligence is a method which uses high speed calculation, the improvement regarding algorithm along with collection about biological and chemical features in pharmaceutical exploration and development .Present day because continuous progress towards machine learning (ML),Artificial intelligence an effective statistics analysing technology might have been broadly utilized in drug design .In pharmaceutical exploration and research employ of AI in target identification, compound …
Published in Journal of Polymer & Composites · Vol. 13, Issue 1, 2025 · pp. 1018–1027 Read article
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Advancements in Agricultural Forecasting: A Review of Machine Learning Based Crop Yield Prediction
Abstract: Agricultural productivity plays a critical role in global food security, and accurate crop yield prediction is essential for optimizing resource allocation and decision-making in farming. The rapid advancements in Machine Learning (ML) and Deep Learning(DL)have transformed agricultural forecasting, enabling data-driven approaches for crop prediction. This review paper provides a comprehensive analysis of various ML and DL techniques applied in crop yield forecast, highlighting the ineffectiveness, challenges, and future directions. The …
Published in Research & Reviews : Journal of Agricultural Science and Technology · Vol. 14, Issue 3, 2025 · pp. 32–38 Read article
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Will Artificial Intelligence Open a New Door in Anaesthesia Practice?
Abstract: The research used big data obtained from Electronic Medical Records (EMR), Computerised Physician Order Entry (CPOE) systems and picture archiving and communication systems (PACS). The traditional techniques of statistics are difficult to apply on large data or big data of electronic medical records (EMR) due to vastness or complexity. The artificial intelligence technique is valuable means to handle such data of EMR. Other than artificial intelligence, machine learning is very …
Published in Research and Reviews : A Journal of Medical Science and Technology · Vol. 9, Issue 1, 2020 · pp. 29–37 Read article
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From Oral to Virtual: The Evolution of Storytelling
Abstract: Storytelling, a timeless art of expressing ideas and emotions, has experienced a revolutionary transformation in the digital era. The emergence of digital platforms like social media, streaming services, podcasts, and interactive apps has completely transformed how stories are created, shared, and experienced. This modern age is marked by accessibility, interactivity, and multimedia convergence, allowing storytellers to reach world audiences in unprecedented fashion. With the advent of the digital era, stories …
Published in Journal of Multimedia Technology & Recent Advancements · Vol. 12, Issue 2, 2025 · pp. 26–32 Read article
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Artificial Intelligence in Healthcare for Implants and Tissue Regeneration: Advances, Challenges, and Future Directions
Abstract: Artificial intelligence (AI) has been a revolutionary influence in contemporary healthcare, especially in implant design, biomaterials research, and tissue regeneration. In regenerative medicine, AI facilitates predictive modeling, optimization, and decision-making via the analysis of intricate biological, material, and clinical information. This study analyzes current research on AI applications in implant technologies and tissue regeneration, specifically addressing scaffold engineering, biomaterial characterisation, stem cell and gene treatments, smart biomaterials, and implant planning. …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 13, Issue 3, 2025 Read article
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Evolving Face of Quality in The World Robotics Process Automation (RPA)
Abstract: Robotics Process Automation (RPA) is a technology that automates repetitive and rule-based tasks using software robots or "bots." These bots mimic human interactions with digital systems and perform tasks like data entry, validation, report generation, and system integration. RPA leverages AI and ML to improve operational efficiency and can be applied across industries and functions. Implementing RPA offers benefits such as error reduction, productivity enhancement, and cost savings. RPA is …
Published in International Journal of Advanced Robotics and Automation Technology · Vol. 1, Issue 1, 2023 · pp. 1–9 Read article
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AI-Driven Innovation in Biomaterials: Predictive Modeling and Design for the Future
Abstract: The integration of artificial intelligence (AI) is revolutionizing the field of biomaterials, paving the way for innovative approaches in their development and production. This paper examines the connection between AI and biomaterials, emphasizing the substantial impact of predictive modeling on the evolution of the field. By examining recent research and cutting-edge uses, the document shows how AI-powered predictive modeling has revolutionized biomaterial design, marking a period of unparalleled precision and …
Published in Trends in Machine design · Vol. 11, Issue 3, 2024 · pp. 25–35 Read article
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Advancements in Insect Science: Agricultural, Health, and Biotechnological Applications for Sustainability
Abstract: Insect research is very important for solving problems in agriculture, health, industry, and protecting the environment. This article talks about the many uses of entomology and how new study on insects helps with pest control, pollination, disease vector control, and the creation of bioinspired technologies. There is a lot of talk about integrated pest management (IPM) tactics, using insects in forensic investigations, and the new sector of producing insect- based …
Published in International Journal of Insects · Vol. 2, Issue 2, 2025 · pp. 7–14 Read article
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MediSense AI - Smart Health Analysis System
Abstract: MediSense AI is a revolutionary health analysis system that empowers users by transforming complex medical data into understandable insights. This platform utilizes advanced technologies, particularly natural language processing and machine learning, to make intricate medical terminologies accessible to individuals without a healthcare background. Leveraging Llama 3, a cutting-edge AI model developed by Meta AI, the system can analyze various forms of medical data, including the ability for users to upload …
Published in Research and Reviews : A Journal of Medical Science and Technology · Vol. 14, Issue 3, 2024 · pp. 20–30 Read article
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Advancements in Smart Hand Gloves for Paralysis Rehabilitation: A Review
Abstract: With the help of Smart Hand Gloves, people with disabilities can live alongside healthy people. A deaf person can use this smart glove to translate his hand signals into text and voiceovers because they cannot speak. This makes it simpler for the typical person to understand what he is saying and to react accordingly. With the help of these smart gloves, people with physical limitations can live freely by being …
Published in Current Trends in Signal Processing · Vol. 13, Issue 1, 2023 · pp. 19–24 Read article
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Decision Fusion based Pair of Iris Recognition using Back-Propagation Learning Neural Network Algorithm
Abstract: AbstractThe contribution of this work is to enhance the performance of the iris recognition system through decision fusion of left and right iris pattern. Iris recognition system performs well and identify human correctly in neutral environment. In this paper a pair of iris recognition system has been proposed, which is capable enough to identify human through noisy environments. Principal component analysis based dimensionality reduction technique has been used toreduce and …
Published in Journal of Computer Technology & Applications · Vol. 6, Issue 2, 2015 · pp. 1–6 Read article
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An Experience of Overcoming Academic Challenges in Nursing Education During COVID-19 Pandemic in A Developing Country
Abstract: COVID-19 pandemic outbreak has globally affected the nursing and medical education. This outbreak has taught that the change is certain and inevitable. Initially it was thought that this pandemic hasbrought all the educational activities to standstill, which is not true. The COVID-19 has brought revolutionary changes in the education system. With the passage of time, the educational institutions and the educationists have accepted the challenge of bringing back the educational …
Published in Journal of Nursing Science & Practice · Vol. 11, Issue 1, 2021 · pp. 23–27 Read article
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Knowledge discovery in software defect datasets using learning algorithms
Abstract: In this paper, the learning impact on various classification models were studied which were built using binary class-imbalanced data. Before the learning process, some preprocessing techniques were applied to training datasets for removing the redundancy. Nowadays feature selection and sampling techniques become an essential tool for many data mining task because learning algorithms do not perform well with defective datasets, dimensionality reduction problem arises. Sampling technique is also used to …
Published in Journal of Software Engineering Tools & Technology Trends · Vol. 5, Issue 2, 2018 · pp. 18–26 Read article
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An Enhanced Application Oriented Predictive Analytic using Optimal Deep Learning Model
Abstract: In order to presents better Predictiveanalytic models of different data using various machine learning algorithms. The data prediction is developed on various applications. These applications are facing many challenges while collecting data and data selection etc. The proposed prediction model involves several phases like (a) Data acquisition, (b) Data cleaning, (c) Data normalization, (d) Optimal Feature selection, and (e) Prediction. The optimal feature selection will be accomplished by a new …
Published in Journal of Software Engineering Tools & Technology Trends · Vol. 7, Issue 2, 2020 · pp. 5–10 Read article
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Android-Based Real-Time Driver Drowsiness Detection and Alert System
Abstract: Traffic accidents cause millions of people to lose their lives every year. Statistics assert that most fatal accidents are due to driver drowsiness. So the rate of fatality due to accidents caused by drivers falling asleep is high. There have been various researches and developments on driver drowsiness and fatigue detection systems by industries and academic researchers over the years. However, the solutions produced are usually found on luxurious vehicles …
Published in Journal of Operating Systems Development & Trends · Vol. 9, Issue 2, 2022 · pp. 1–6 Read article
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Effective Curriculum Transaction: Need of the Hour
Abstract: Abstract Curriculum Designing is one of the most important parts of Teaching. Once the appropriate and effective curriculum is designed, it is in the hand of the teachers that how effective they can transfer their knowledge to the learners. Due to the advent of advance technology there are lots of tools available like, MOOC, OER and other ICT related tool to make the teaching more interesting and innovative. In the …
Published in Journal of Advancements in Library Sciences · Vol. 6, Issue 1, 2019 · pp. 38–40 Read article
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Efficient Identification of Complex Diseases Through Epistasis Computational Models: A Review
Abstract: AbstractGenome-Wide Association Studies (GWAS) identify and characterize the genes that are associated with human diseases. One of the significant ongoing researches in GWAS is to identify the disease susceptible genes through Epistasis. The gene that masks the effects of other genes is called Epistasis. The gene interacts with another gene is known as epistatic or genetic interactions (GGIs). GWAS identifies the genetic variants of Single Nucleotide Polymorphism and also the …
Published in Research & Reviews: A Journal of Bioinformatics · Vol. 7, Issue 2, 2020 · pp. 21–32 Read article
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Multiscale Catalytic Strategies for Sustainable Chemical Production: Integrating Computational Catalysis, Process Technology and Biocatalytic Transformations
Abstract: The transition toward sustainable chemical manufacturing requires catalytic technologies capable of maximizing resource efficiency, minimizing greenhouse gas emissions, and enabling the utilization of renewable feedstocks. Recent advances in computational catalysis, process technology, and biocatalytic transformations have created opportunities for the development of integrated catalytic platforms spanning molecular, reactor, and process scales. Density functional theory (DFT), machine learning-assisted catalyst discovery, and multiscale modeling have accelerated the rational design of heterogeneous, homogeneous, …
Published in Journal of Catalyst & Catalysis · Vol. 13, Issue 2, 2026 · pp. 27–35 Read article
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Integrating QR Code and Blockchain Technologies for Enhanced Authenticity and Traceability of Products
Abstract: The counterfeiting of products is a significant challenge faced by the retail market today. Various methods such as RFID tags, machine learning, artificial intelligence, and QR code-based systems have been employed to combat counterfeiting, but they all have some drawbacks. For instance, QR codes can be copied from genuine products to fake ones, and AI and machine learning require high computational power. To address this issue, we propose using blockchain …
Published in Journal of Advanced Database Management & Systems · Vol. 10, Issue 1, 2023 · pp. 6–11 Read article