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491 articles for “Artificial potential”
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Algorithmic Ecology: A Framework for Achieving Carbon-Neutrality in Global Data Infrastructure
Abstract: The exponential growth of digital infrastructure has positioned data centers as critical enablers of the global digital economy, yet their environmental impact has become a paramount concern. Data centers consumed approximately 205 TWh globally in 2018, representing about 1% of global power usage with a steady 6% growth trend. This review synthesizes current literature on green algorithms and sustainable data center technologies, examining the intersection of artificial intelligence, machine learning …
Published in International Journal of Sustainability · Vol. 3, Issue 1, 2026 · pp. 33–48 Read article
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Next-Generation mRNA Vaccines: Applications Beyond COVID-19
Abstract: Messenger RNA (mRNA) vaccine technology has become a paradigm shift in contemporary medicine and, with remarkable success in the COVID-19 pandemic, has opened the door to a new wave of vaccines development. In contrast to the traditional vaccine methods, mRNA vaccines are based on the synthetic genetic code that allows host cells to express target antigens, thus eliciting strong humoral and cellular immunity. The speed of development, efficacy, scalability of …
Published in International Journal of Vaccines · Vol. 3, Issue 2, 2026 · pp. 15–26 Read article
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Artificial Intelligence In Transfusion Medicine And In Our Mission To “BEAT- COVID”
Abstract: The key objectives of this manuscript are: 1] Demystifying the buzzword of Artificial Intelligence [AI] and comparing neuronal networkings similarity of machines with some mammals; 2] Exploring, from outside sources, the breath of some computerized procedural data generated in laboratory and clinical areas of medicine, by robotic tools in the cutting age of transfusion medicine; 3] Expressing views on the variabilities of covid- associated long lasting microcirculatory disseminated pathogenic autoimmune …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 7, Issue 3, 2020 · pp. 10–21 Read article
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Metagenome-Informed Engineering of Monoclonal Antibodies: Mining Microbial Immunoglobulin-Like Domains for Ultra-Stable Therapeutics
Abstract: Metagenome-informed engineering represents an emerging strategy for improving the stability and functionality of monoclonal antibodies (mAbs) by leveraging the vast diversity of microbial immunoglobulin-like (Ig-like) domains (10,24). These domains, derived from uncultured bacteria and bacteriophages, exhibit exceptional thermostability, protease resistance, and structural resilience due to adaptation to extreme environments (29,30). This review highlights advances in metagenomic mining, structural characterization, and protein engineering that enable the integration of microbial Ig-like scaffolds …
Published in Research and Reviews : A Journal of Biotechnology · Vol. 16, Issue 1, 2026 · pp. 70–83 Read article
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Intelligent Medical Devices and Robotics in Modern Healthcare: Technological Advancements and Economic Considerations
Abstract: The integration of robots and intelligent medical devices in intensive care units (ICUs) represents a significant advancement in healthcare technology. These systems, including robotic assistants, automated monitoring tools, and AI-powered diagnostic devices, are designed to enhance patient care, streamline workflows, and reduce human error. Robots in the ICU can assist with routine tasks such as medication delivery, patient repositioning, and even basic surgeries, enabling healthcare professionals to focus on critical …
Published in Journal of Advancements in Robotics · Vol. 11, Issue 3, 2024 · pp. 18–27 Read article
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A Polymer-Based Recommender System for Precision Agriculture: Enhancing Crop Yield Analysis Using IoT Technology
Abstract: This study introduces an innovative recommender system that employs polymer-based sensors combined with advanced data analytics to deliver personalized recommendations for crop management optimization. The use of polymer-based materials in sensor design allows for the creation of durable, cost-effective, and efficient sensors, well-suited for the challenging conditions typical in agricultural environments. These sensors are designed to withstand variations in numerous factors like temperature of the surrounding, humidity level, and at …
Published in Journal of Polymer & Composites · Vol. 13, Issue 2, 2025 · pp. 86–95 Read article
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Gene Edited Livestock for Enhanced Feed Efficiency and Metabolic Adaptation Through Precision Genomic Interventions
Abstract: Advances in gene editing technologies have transformed the landscape of livestock production by enabling precise manipulation of genetic material associated with productivity, health, and environmental adaptability. Tools such as CRISPR Cas9 and emerging next generation editors allow targeted modifications that improve feed efficiency, growth performance, nutrient utilization, and stress tolerance in farm animals. This review highlights the genetic basis of feed efficiency and metabolic regulation, focusing on key genes and …
Published in Research and Reviews : A Journal of Biotechnology · Vol. 16, Issue 2, 2026 · pp. 1–10 Read article
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Artificial Intelligence in Autonomous Military Weaponry Systems
Abstract: The rapid rise of artificial intelligence (AI) has transformed contemporary defence organizations, reshaping military structures, operational strategies, and the design and deployment of modern weapons. AI has significantly influenced the architecture, decision-making processes, and functionality of military systems, particularly in complex and rapidly evolving combat scenarios. This paper provides a comprehensive analysis of the growing use of autonomous military weapon systems, focusing on technological developments, regulatory challenges, governance gaps, and …
Published in International Journal on Drones · Vol. 2, Issue 2, 2026 · pp. 09–20 Read article
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Exploring Artificial Intelligence in the Finance Sector
Abstract: Artificial intelligence (AI), machine learning (ML), and progressive algorithms illustrate a substantial technological leap with wide applications across sectors like automobiles, healthcare, gaming, finance, entertainment, and more. The foremost objective of AI is to produce intelligent, independent systems capable of self-sustaining decision-making. This study delivers a concise summary of AI, concentrating on its transformative influence on finance, especially within banking, asset firms, derivatives markets, and insurance enterprises. It summarizes the …
Published in E-Commerce for Future & Trends · Vol. 11, Issue 3, 2024 · pp. 16–23 Read article
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AI-Driven Precision Nutrition: Advancing Personalized Dietary Systems for Public Health Equity in Resource-Constrained Environments
Abstract: The dual burden of malnutrition and diet-related non-communicable diseases (NCDs) represents a growing global public health challenge, particularly in low- and middle-income countries. Traditional dietary guidelines are largely population-based and fail to account for individual variability in genetics, metabolism, lifestyle, and environmental exposure. This limitation has led to the emergence of precision nutrition, an evolving field that integrates biological data and computational intelligence to deliver personalized dietary recommendations. This paper …
Published in Research and Reviews : A Journal of Medical Science and Technology · Vol. 15, Issue 1, 2026 Read article
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Traffic Detection Algorithms Analysis using ML
Abstract: It is difficult to watch traffic on crowded roads. Traffic monitoring procedures are time-consuming, expensive, labor-intensive, and require human operators. The limited accessibility hindered the storing and processing of large-scale video streams. Nonetheless, it is now possible to employe video feeds from traffic monitoring systems for number plate recognition, object tracking, traffic behavior analysis, and surveillance. Static image recognition and vehicle identification in a traffic surveillance system are very useful …
Published in Trends in Machine design · Vol. 11, Issue 2, 2024 · pp. 1–8 Read article
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Role of Beowulf Clusters in Next-Generation Military Applications: A Comprehensive Study
Abstract: Beowulf clusters, which utilize cost-effective commodity hardware combined with open-source software for parallel computing, have emerged as a viable and efficient solution for high-performance computing needs. This paper explores their growing relevance and practical applications in modern and future military technologies. Contemporary military operations increasingly rely on rapid data processing, real-time intelligence, high-fidelity simulations, and autonomous decision-making systems. Beowulf clusters offer scalable and adaptable computational power that supports these demands …
Published in Journal of Advances in Shell Programming · Vol. 12, Issue 2, 2025 · pp. 01–07 Read article
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Innovations in Civil Engineering: Advancing Infrastructure through AI Technology
Abstract: A comprehensive exploration of the intersection of civil engineering and artificial intelligence (AI) technology, highlighting the transformative impact of AI on infrastructure development, management, and sustainability. The journal encompasses a wide array of research articles, case studies, and reviews that demonstrate the integration of AI into various facets of civil engineering, including but not limited to smart infrastructure, predictive maintenance, structural analysis, and urban planning. By showcasing cutting-edge applications and …
Published in Journal of Structural Engineering and Management · Vol. 11, Issue 2, 2024 · pp. 1–11 Read article
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Designing Aspects and Recent Advances in Digital Holographic Microscopy
Abstract: Recent advances in Digital Holographic Microscopy have been discussed in this paper, besides throwing some light on the designing aspects of optical components like beam splitter and neutral density filter for the optimization of system performance. Some important related subtopics like spectral resolution of digital holograms, and Fourier-synthesis holography have been technically discussed. The optimization of acoustical holographic components for use in renewable energy production is presented in this study. …
Published in Research & Reviews : Journal of Physics · Vol. 14, Issue 2, 2025 · pp. 06–18 Read article
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Radial Basis Function Neural Networks for Rainfall-Runoff Modeling
Abstract: Rainfall-runoff process is purely nonlinear and varies spatially as well as temporally. Any hydrological model requires many parameters which represent different components of the process. Availability of all the parameters is difficult for any catchment and probabilistic generation of such type of data is impossible. Under such circumstances, artificial neural networks (ANNs) have proven to be a better tool to model the rainfall-runoff process with minimum available data. The present …
Published in Journal of Water Resource Engineering and Management · Vol. 1, Issue 2, 2014 · pp. 11–18 Read article
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English Literature in the Digital Era: Transformations and Trends
Abstract: English literature context has been changed significantly with modernisation of the digital age that is creating a massive impact on creation, dissemination, and interpretation of literature. When one considers the relationship between literature and digital innovation, one may summarize these disruptive forces as both a challenge to and opportunity for literature — a hybridization of past forms. It explores how digital technologies have transformed reading practices, textual analysis, and the …
Published in Emerging Trends in Languages · Vol. 2, Issue 2, 2025 · pp. 27–32 Read article
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Study of Social Trends Prediction Using AI
Abstract: AI (Artificial Intelligence) has fundamentally changed the ability to analyze social trends by using large datasets to develop predictions about human behavior, public sentiment, and global events. Using methodologies such as Natural Language Processing (NLP), Time-Series Forecasting, and Graph-Based Social Network Analysis, AI is able to find hidden correlations in a variety of available datasets, from social media to economic indicators to public records, and fundamentally changes decision-making based on …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 12, Issue 3, 2025 · pp. 19–29 Read article
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DESIGN AND IMPLEMENTATION OF AN ARDUINO-BASED WIRELESS POWER CONSUMPTION MONITORING AND CONTROL SYSTEM
Abstract: The increasing demand for electricity and the inefficiencies associated with traditional metering systems necessitate the development of advanced solutions for monitoring and controlling power consumption. This study presents the design and implementation of an Arduino-based wireless power consumption monitoring and control system aimed at providing real-time feedback and efficient energy management. The system incorporates the Arduino Uno R3 microcontroller, ACS712 current sensor, relay module, and Ethernet shield to enable accurate …
Published in Trends in Electrical Engineering · Vol. 16, Issue 1, 2025 · pp. 19–31 Read article
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Pre-Execution check based Cyber-Physical System
Abstract: Physical objects with computational capabilities and connectivity performing programmable task are called Cyber-Physical System (CPS). These systems deal with real time physical objects like running car, automatic washing machine, pilotless aircraft, power grid etc. CPS's are influencing from domestic machines to critical infrastructure of a country like power grid, avionics, nuclear program etc. The failure or compromise of cyber-physical system causes critical infrastructure destruction to human lives casualties, artificial floods …
Published in Recent Trends in Programming languages · Vol. 7, Issue 2, 2020 · pp. 13–17 Read article
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AI Application in the Creation of Medications for COPD
Abstract: The crippling lung condition known as chronic obstructive pulmonary disease (COPD) is typified by a continuous restriction of airflow, which results in increased respiratory dysfunction and a reduced quality of life. The rising incidence of COPD worldwide emphasizes the pressing need for innovative pharmaceutical approaches to address the illness. Even though COPD care has advanced significantly, most current medications concentrate on symptom relief rather than disease change. This gap in …
Published in Research & Reviews: A Journal of Drug Design & Discovery · Vol. 12, Issue 2, 2025 · pp. 01–05 Read article