Search
392 articles for “artificial environment”
-
Survey of Predictive Models for Safe Route Predicting Using Machine Learning Techniques
Abstract: Safe route prediction is essential for the well-being and security of individuals in urban and rural environments. Machine learning techniques leverage historical data, real-time information, and algorithms to estimate the safety levels of different routes. The objective of safe route planning is to minimize risks, including crime-prone areas and accidents, reducing potential harm, property damage, and emotional distress. However, challenges arise from the complex and dynamic nature of urban environments, …
Published in Journal of Mobile Computing, Communications & Mobile Networks · Vol. 11, Issue 1, 2024 · pp. 13–22 Read article
-
Fire Risk Assessment and Safety Improvement Strategies in Industrial Facilities: A Comprehensive Review
Abstract: Fire incidents in industrial facilities continue to pose significant threats to human life, infrastructure, production continuity, and the environment despite continuous advancements in industrial safety practices. The increasing complexity of manufacturing processes, the widespread use of flammable materials, and the integration of automated systems have intensified the need for systematic fire risk assessment and effective safety management. This review paper examines the major sources of fire hazards in industrial environments, …
Published in Journal of Industrial Safety Engineering · Vol. 13, Issue 2, 2026 · pp. 36–47 Read article
-
Radio Frequency Next-Generation Advances
Abstract: Radio frequency (RF) technology is a key enabler for modern wireless communications, driving the evolution of telecommunications, healthcare, aerospace, defence and the Internet of Things (IoT). Faster, more reliable and energy-efficient communication systems have been developed at a rapid pace due to recent discoveries in RF engineering. This article discusses novel advancements in RF technologies including enhanced antenna design, millimeter-wave communication, software defined radio, smart spectrum management, and RF-based sensor …
Published in International Journal of Radio Frequency Innovations · Vol. 4, Issue 1, 2026 Read article
-
The Doomsday Clock and Global Health: A Medical Sociological Analysis of Existential Threats to Human Civilization From 1947 to 85 Seconds to Midnight Situating the Biosocial Crises of the Twenty-First Century
Abstract: Since its inception in 1947, the Doomsday Clock maintained by the Bulletin of the Atomic Scientists has functioned as a socially constructed barometer of civilisational risk, translating complex scientific, geopolitical, and technological threats into a universally legible symbolic chronometry. As of January 2026, the Clock stands at 85 seconds to midnight, its most alarming position in nearly eight decades of operation. This article adopts a medical sociological framework, drawing on …
Published in Recent Trends in Social Studies · Vol. 3, Issue 2, 2026 · pp. 26–36 Read article
-
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
-
A multi-index remote sensing analysis for Characterizing water stress, and environmental indicators in Girnar Wildlife Sanctuary, Gujarat, India
Abstract: Water scarcity is a critical concern in arid and semi-arid regions, with implications for ecological stability, public health, and sustainable resource management. The Girnar Wildlife Sanctuary, Gujarat, presents a case where ecological fragility intersects with cultural and religious pressures. This study employs satellite remote sensing and GIS-based approach to characterize water stress parameters within the sanctuary. Key spectral indices along with Land Use and Land Cover (LULC) were integrated through …
Published in Journal of Remote Sensing & GIS · Vol. 17, Issue 1, 2026 · pp. 1–11 Read article
-
Adoption Barriers to Advanced Reproductive Technologies in the Subsistence Dairy Farming Systems: Key Constraints and the Way Forward
Abstract: The adoption of advanced reproductive technologies (ARTs) in subsistence dairy farming remains limited despite their potential to enhance genetic improvement, fertility rates, and overall productivity. This study explores the key constraints hindering the integration of ARTs, including artificial insemination, embryo transfer, and ovulation synchronization, within small-scale dairy production systems. Financial constraints, lack of awareness, inadequate veterinary support, and socio-cultural resistance are identified as primary barriers. Limited access to affordable credit, …
Published in International Journal of Animal Biotechnology and Applications · Vol. 12, Issue 1, 2026 Read article
-
AI and Machine Learning Approaches for Estimating Depression Severity: Techniques, Trends, and Applications
Abstract: Depression is a very common mental health disorder that results in a disorder of a person’s behavior, emotions, and cognitive abilities. Depression can be caused by environmental factors or hereditary factors. The person suffering from depression might have symptoms of suicidal thoughts, altering food patterns as well as sleeping issues. Depression is a global issue that has impacted millions of people globally having more effect on women worldwide. The complexity …
Published in Journal of Electronic Design Technology · Vol. 15, Issue 3, 2024 · pp. 29–38 Read article
-
Energy-efficient Automatic Solar Grass Cutter
Abstract: A smart solar mower is an innovative, eco-friendly lawn mower that uses solar power to cut grass. It is equipped with advanced features, such as artificial intelligence and sensors, which make it efficient and easy to use. The mower has solar panels which collect energy from the rays of the sun, which is then used to power a motor that turns the blades. The mower can analyze the height and …
Published in Journal of Energy, Environment & Carbon Credits · Vol. 13, Issue 1, 2023 · pp. 29–34 Read article
-
Health and Wellness in the Age of Digital Landscapes: Fostering Quality of Life
Abstract: Digital technologies have been transforming the world of health and wellness, bringing unique ways to enhance people's life quality around grand scale. These developments are completely changing the way we think about social health, mental health, and physical fitness. People can better monitor, manage, and optimize their health by utilizing technologies like wearables, telemedicine, and smartphone health apps in conjunction with artificial intelligence. This study examines the various ways that …
Published in International Journal of Trends in Humanities · Vol. 2, Issue 1, 2025 · pp. 1–4 Read article
-
AI-Powered Architectural Ideation: From Sketch to Script
Abstract: Artificial Intelligence (AI) is redefining the landscape of architectural education by altering how students conceptualize, design, and execute their projects. As emerging technologies continue to permeate architecture, AI holds a central role in shaping future architectural pedagogy. The integration of AI in architectural studies has introduced new methodologies, facilitating complex design processes, sustainability assessments, and improved efficiency. This abstract explores how AI tools like generative design software, digital twins, and …
Published in International Journal of Architectural Design and Planning · Vol. 3, Issue 1, 2025 · pp. 1–6 Read article
-
The Impact of Robot-Assisted Care on Cognitive Health and Mental Well-Being of the Elderly
Abstract: The rapid advancement of robotics and artificial intelligence (AI) has led to the development of robot-assisted care technologies, which are increasingly being deployed in elderly care settings. These robots are designed to provide physical assistance, emotional support, and cognitive stimulation for older adults. As the global population of elderly individuals grows, particularly in aging societies, it becomes increasingly important to explore innovative solutions that enhance the quality of life and …
Published in International Journal of Advanced Robotics and Automation Technology · Vol. 3, Issue 1, 2025 · pp. 1–6 Read article
-
REVIEW OF PHARMACOEPIGENETICS: BRIDGING EPIGENETICS AND PERSONALIZED MEDICINE
Abstract: Pharmacoepigenetics is an emerging field that explores how alterations in gene expression, independent of DNA sequence changes, influence individual responses to drugs. Unlike pharmacogenetics, which focuses primarily on genetic variation, pharmacoepigenetics integrates genetic, environmental, and lifestyle factors to explain interindividual differences in drug efficacy, toxicity, and resistance. Key epigenetic mechanisms including DNA methylation, histone modifications, non-coding RNAs, and RNA methylation play critical roles in regulating drug metabolism and therapeutic outcomes. …
Published in International Journal of Molecular Biotechnological Research · Vol. 4, Issue 1, 2026 Read article
-
Drug-Induced Liver Injury: Hepatotoxicity and Treatment - A Literature Review
Abstract: Drug-induced liver injury (DILI) is a major clinical and regulatory challenge, posing risks to patient safety and drug development worldwide. As the primary organ responsible for xenobiotic metabolism, the liver is particularly susceptible to toxic injury from prescription drugs, over-the-counter medications, herbal products, and dietary supplements. Drug-induced liver injury (DILI) accounts for a substantial proportion of acute liver failure cases and remains a leading cause of post-marketing drug withdrawal. Its …
Published in Research and Reviews: A Journal of Toxicology · Vol. 16, Issue 1, 2026 · pp. 1–17 Read article
-
AI-Powered Defense: Advancing Cybersecurity Through Artificial Intelligence Innovations
Abstract: In the current landscape of escalating cyber threats and increasingly sophisticated attack vectors, integrating artificial intelligence (AI) within cybersecurity strategies has become a critical step forward. This study explores the role of AI in strengthening cybersecurity by utilizing its strengths in data analysis, pattern recognition, and predictive modeling. Through AI, organizations can greatly enhance their ability to detect and respond to threats. Machine learning algorithms enable ongoing adaptation to new …
Published in International Journal of Information Security Engineering · Vol. 4, Issue 1, 2026 · pp. 35–41 Read article
-
Big Data in Chemistry: Problems and Answers
Abstract: The rapid growth of experimental and computational chemistry data, researchers now have access to vast datasets, presenting both significant opportunities and challenges. This paper explores the primary challenges associated with managing, processing, and utilizing big data in chemistry, including data heterogeneity, integration across various scales and systems, lack of standardized formats, and the need for advanced tools for data analysis. Additionally, the paper discusses the ethical concerns of data ownership, …
Published in International Journal of Cheminformatics · Vol. 2, Issue 1, 2024 · pp. 9–14 Read article
-
Identification of Elements Exist in Area Around Khartoum Petroleum Refinery Using Spectroscopic Method
Abstract: Laser-induced breakdown spectroscopy (LIBS) is a method of atomic emission spectroscopy (AES) that uses a laser-generated plasma as the hot vaporization, atomization, and excitation source. Plasma is often called the fourth state of matter. The various states of matter occur as a substance is heated to temperatures corresponding to thermal energies above the binding energies for particular state of matter. Structured systems placed in a sufficiently hot environment. LIBS technique …
Published in Journal of Petroleum Engineering & Technology · Vol. 12, Issue 1, 2022 · pp. 1–14 Read article
-
Leveraging IoT and AI for Real-Time Monitoring and Optimization of Polymer Production Processes
Abstract: Integrating the Internet of Things (IoT) and Artificial Intelligence (AI) technology provides a transformational potential for the polymer manufacturing business, allowing for real-time monitoring and better control of production processes. This paper explores the synergistic application of IoT and AI to achieve greater efficiency, sustainability, and quality control in polymer manufacturing. IoT sensors and devices may capture massive volumes of data from different phases of the manufacturing process, delivering real-time …
Published in Journal of Polymer & Composites · Vol. 13, Issue 1, 2025 · pp. 1–16 Read article
-
Virtual Reality in Civil Engineering: A Comprehensive Review of Applications, Challenges, and Future Trends
Abstract: Virtual reality (VR) technology has gained significant attention in civil engineering, offering immersive and interactive environments that enhance visualization, safety training, and project management. This review paper comprehensively examines the current applications of VR in civil engineering, focusing on construction safety training, design visualization, and stakeholder collaboration. VR’s ability to simulate hazardous scenarios allows for effective safety awareness and risk mitigation without real-world exposure. Additionally, the integration of VR with …
Published in Journal of Industrial Safety Engineering · Vol. 12, Issue 3, 2025 · pp. 20–24 Read article
-
Aerodynamic Optimization of UAV Wings Using Machine Learning
Abstract: Unmanned Aerial Vehicles (UAVs) are increasingly deployed across defense, transportation, agriculture, and environmental monitoring, demanding improved aerodynamic efficiency to enhance endurance, stability, and payload capacity. Traditional aerodynamic optimization approaches, relying on computational fluid dynamics (CFD) simulations and wind tunnel experiments, are often time-consuming and computationally expensive. This study proposes a machine learning (ML)-driven framework for the aerodynamic optimization of UAV wing geometries, aiming to significantly reduce design cycles while improving …
Published in International Journal on Drones · Vol. 2, Issue 1, 2026 · pp. 1–7 Read article