Search
58 articles for “human cognition”
-
Shell Programming with Sensor Systems and Applications for Human Cognition
Abstract: Shell programming provides a flexible interface to sensor systems, enabling robust scripting for real-time data acquisition and processing, as well as integration with perception components. Such sensors have human analogs—tactile, physiological, and behavioral—and are increasingly embedded within health, mobile, and smart environments to capture fine-grained details of human cognition. Using shell scripts, the system can automatically collect sensor data, fuse multimodal data, and perform adaptive behavioral monitoring, allowing researchers and …
Published in Journal of Advances in Shell Programming · Vol. 12, Issue 2, 2025 · pp. 41–45 Read article
-
Designing Intelligent Agents for Effective Collaboration with Human in Complex Environment
Abstract: An intelligent agent is a self-governing system that can take action to accomplish its goals based on how it perceives its surroundings. This paper introduces a newly designed humanoid robot that demonstrates significant advancements in performance, reliability, durability, energy efficiency, and environmental sustainability. The design emphasizes a bio-inspired musculoskeletal system, enabling natural and flexible motion while improving operational lifespan. A self-repair system is integrated to allow the robot to address …
Published in Journal of Control & Instrumentation · Vol. 16, Issue 3, 2025 · pp. 1–7 Read article
-
A Research Study on Cognitive Health Benefits of Nicotine to the Human Body
Abstract: Background: Nicotine has been primarily known for its addictive properties and associated health risks, particularly in tobacco products. However, recent research has highlighted nicotine’s potential cognitive health benefits, especially in neurodegenerative diseases like Alzheimer’s and Parkinson’s. This study investigates smoking prevalence across mental health conditions, and cognitive impairments in various psychiatric disorders, and explores the possible cognitive health benefits of nicotine. Methods: Data on age and gender distribution, smoking prevalence, …
Published in Research & Reviews: A Journal of Drug Design & Discovery · Vol. 12, Issue 1, 2025 · pp. 16–23 Read article
-
Continuous Learning in Language Models: A Survey of Streaming Data Processing Techniques
Abstract: The integration of continual learning with Large Language Models (LLMs) and Natural Language Processing (NLP) represents a transformative step toward creating adaptive, intelligent systems capable of functioning effectively in ever-changing environments. Traditional LLMs are typically trained on large, pre-collected datasets, which limits their ability to evolve as new information emerges. Continual learning, in contrast, enables models to acquire new knowledge incrementally without the need for complete retraining, thereby supporting long-term …
Published in Recent Trends in Programming languages · Vol. 12, Issue 3, 2025 · pp. 23–34 Read article
-
Neural Implants & Brain–Computer Interfaces: Enhancing Human Intelligence or Violating Free Will?
Abstract: The integration of neural implants with artificial intelligence creates opportunities to develop new implants and enhance current nanotechnologies. Although these advances hold significant potential for restoring neurological functions, they also introduce important ethical concerns. The rapid advancements in neural implants and brain–computer interfaces [BCIs] are revolutionizing human cognition, enabling enhanced intelligence, communication, and even thought-driven control of external devices. Although these technologies offer great promise in enhancing human abilities, they …
Published in Research and Reviews: A Journal of Neuroscience · Vol. 16, Issue 1, 2026 · pp. 13–18 Read article
-
Artificial Intelligence in Cerebellum Activation
Abstract: Neuroscience plays a significant function during the progression of artificial intelligence. It provided inspiration for the development of human-like AI. There are two ways that neuroscience encourages us to develop AI systems. Neural networks that replicate human cognition and those that match the structure of the brain are the two objectives. Neural networks, which draw inspiration from the architecture of the human brain, are the engine behind contemporary artificial intelligence …
Published in International Journal of Cheminformatics · Vol. 1, Issue 1, 2023 · pp. 14–26 Read article
-
Limits to Knowledge-Sharing by Computers
Abstract: The rapid advancement of artificial intelligence (AI) and machine learning (ML) has significantly enhanced the capabilities of computers in processing, analyzing, and disseminating knowledge. However, despite these advancements, there are inherent limits to the extent that knowledge-sharing can be fully realized through computer systems. This study explores the various barriers that hinder the effective sharing and transfer of knowledge through machines, including technological limitations, ethical concerns, and the complexities of …
Published in Current Trends in Information Technology · Vol. 15, Issue 2, 2025 · pp. 01–05 Read article
-
The Ethics and Implications of Brain–Computer Interfaces: Enhancing Human Abilities and Redefining Privacy
Abstract: This study addresses the ethical considerations and social implications of brain–computer interface (BCI) development and integration. BCI, sometimes called a brain-machine interface (BMI) or smart brain, is a direct communication path between the brain and electrical activity and an external device, usually a computer or robotic limb. BCIs are often directed towards researching, mapping, assisting, improving, or correcting human cognitive or sensorimotor functions. The implementation of BCIs varies from non-invasive …
Published in Journal of Computer Technology & Applications · Vol. 15, Issue 1, 2024 · pp. 24–28 Read article
-
Psychological Determinants of Farmers’ Adoption of Sustainable Practices: A Behavioural Approach to Agricultural Extension
Abstract: Sustainable agriculture has emerged as a global priority to balance productivity with environmental conservation. Yet, adoption of sustainable practices by farmers remains uneven, shaped not only by economic incentives but by underlying psychological and behavioural factors. This review explores the psychological determinants influencing farmers’ willingness to adopt sustainable agricultural practices across traditional and modern contexts. Drawing upon behavioural theories such as the Theory of Planned Behaviour and the Diffusion of …
Published in Research & Reviews : Journal of Agricultural Science and Technology · Vol. 15, Issue 1, 2026 · pp. 101–109 Read article
-
Enhancing Business Expansion through the Integration of Artificial Intelligence and Business Intelligence
Abstract: Business intelligence (BI) and artificially intelligent technology (AI) give businesses a competitive edge and significantly boost growth. AI emulates human cognitive processes, learns from data, and makes intelligent decisions, while BI analyzes data for strategic insights. This study explores the synergies of integrating AI and BI, revealing opportunities for business expansion. AI algorithms analyze extensive datasets, enhancing predictions for customer behavior. The reciprocal relationship automates processes, elevates decision-making, and enables …
Published in International Journal of Electrical and Communication Engineering Technology · Vol. 1, Issue 2, 2023 · pp. 27–33 Read article
-
Mario Ai Model Using Gaming Reinforcement Learning
Abstract: It is essential for research on computational and/or artificial intelligence (CI/AI) applied to games to have relevant games to apply AI algorithms to. This is pertinent. It doesn't matter if one is studying how to use CI/AI techniques to test and improve AI (e.g., games provide challenging yet scalable problems which engage many central aspects of human cognitive capacity) or how to use CI/AI techniques to improve games (e.g., player …
Published in Journal of Instrumentation Technology & Innovations · Vol. 14, Issue 2, 2024 · pp. 1–6 Read article
-
Significance of Lighthing Design
Abstract: Lightning design plays a pivotal role in both architectural and interior design, impacting aesthetics, functionality, and psychological well-being. This research investigates the multifaceted influence of lighting on human emotions, cognitive functions, and overall mental well-being within built environments. Moreover, it explores the visual comfort aspects of lighting design, emphasizing its significance in minimizing glare, shadows, and eye strain to optimize occupant satisfaction. Through a series of case studies, this study …
Published in International Journal of Rural and Regional Development · Vol. 2, Issue 1, 2024 · pp. 37–46 Read article
-
The Future of Robotics: A Review of AI-Enabled Robotics Research, Development, and Applications
Abstract: Robotics powered by artificial intelligence (AI) is transforming contemporary industries by empowering machines to learn, adapt, and operate on their own in intricate, changing contexts. The breadth and capabilities of automation have been greatly expanded by the convergence of AI technologies with robots, including machine learning, deep learning, computer vision, and natural language processing (NLP). With an emphasis on technological advancements, application areas, and research advances, this study examines current …
Published in International Journal of Robotics and Automation in Mechanics · Vol. 3, Issue 2, 2025 · pp. 33–38 Read article
-
Lighting Design in Office Spaces: Illuminating the Path to Productivity and Well-being
Abstract: Lighting design in office spaces refers to the intentional planning and implementation of lighting solutions within a workplace environment to meet the functional, aesthetic, and psychological needs of occupants. This research paper delves into the intricate connection between lighting design, mood regulation, and productivity levels within office spaces. Through a comprehensive analysis of existing literature, it investigates how various aspects of lighting, including colour temperature, intensity, distribution, and dynamics, influence …
Published in International Journal of Environmental Planning and Development Architecture · Vol. 2, Issue 1, 2024 · pp. 38–53 Read article
-
High-Definition Electroencephalography: A New Horizon in Neurological Pathology Research
Abstract: The advent of high-density electroencephalography (HD-EEG) has catalyzed a paradigm shift in the exploration of neurological pathologies. This editorial underscore its transformative potential in elucidating brain dynamics and refining diagnostic approaches for a spectrum of conditions, spanning from epilepsy and dementia to cognitive impairments in preterm infants. Our objective is to optimize the utility of HD-EEG by emphasizing the imperative for methodological homogenization and fostering collaborative endeavors. The remarkable spatial …
Published in Research and Reviews: A Journal of Neuroscience · Vol. 14, Issue 2, 2024 · pp. 15–21 Read article
-
Environmental Pollutants and Biodiversity Loss: Analyzing the Role of Persistent Organic Pollutants in Ecosystem Decline
Abstract: Persistent Organic Pollutants (POPs) significantly impact biodiversity, with various factors influencing their effects on species and ecosystems. Species in poor body condition, like carnivores and predators, are more vulnerable to POPs due to weakened immune systems and reduced detoxification abilities. Dietary habits also affect the accumulation of POPs, as chemicals biomagnify up the food chain. Carnivores accumulate higher concentrations, leading to reproductive failures, hormonal imbalances, and death, while herbivores face …
Published in International Journal of Toxins and Toxics · Vol. 2, Issue 1, 2025 · pp. 9–20 Read article
-
Predictive Analytics for Student Well-Being and Occupational Success
Abstract: The integration of predictive analytics into higher education has significantly transformed institutional decision-making processes. However, prevailing implementations remain predominantly performance-centered, focusing on dropout prediction and grade forecasting rather than holistic developmental outcomes. Concurrently, higher education systems worldwide are confronting escalating concerns regarding student mental health, disengagement, career uncertainty, and labor market volatility. These intersecting challenges necessitate a broader theoretical reconceptualization of predictive analytics—one that integrates psychological well-being and long-term occupational …
Published in International Journal of Education Sciences · Vol. 3, Issue 1, 2026 · pp. 155–163 Read article
-
Recognition and Detection of Content in Video Using OpenCV
Abstract: The emergence and continued reliance on the Internet and related technologies has resulted in massive amounts of data that can be analysed. Humans, on the other hand, do not have the cognitive abilities to comprehend such vast amounts of data. Machine learning (ML) is a mechanism that enables humans to process large amounts of data, gain insights into the data's behaviour, and make more informed decisions based on the analysis's …
Published in International Journal of Image Processing and Pattern Recognition Read article
-
Human-robot Collaboration in Manufacturing: Safety, Efficiency, and Technological Developments
Abstract: Human-robot collaboration (HRC) has emerged as a transformative force in modern manufacturing, significantly enhancing productivity, operational flexibility, and overall efficiency. This review article explores the fundamental aspects of HRC, with a particular focus on safety protocols, efficiency optimization, and technological advancements that are shaping the future of collaborative robotics. Ensuring safety in HRC environments is a primary concern, necessitating the implementation of advanced safety measures, risk assessment methodologies, and compliance …
Published in International Journal of Advanced Robotics and Automation Technology · Vol. 3, Issue 1, 2025 · pp. 18–23 Read article
-
A Role of Ergonomics in Advanced Manufacturing Systems: A Harmonious Blend of Human and Machine
Abstract: The integration of human and machine elements in advanced manufacturing systems (AMS) necessitates a careful consideration of ergonomic principles to ensure the well-being and performance of the workforce. This paper explores the critical role of ergonomics in AMS, focusing on physical, cognitive, and organizational aspects. By optimizing the interaction between humans and technology, ergonomics aims to reduce musculoskeletal disorders, improve worker satisfaction, and enhance overall system efficiency. The paper delves …
Published in International Journal of Manufacturing and Production Engineering · Vol. 3, Issue 1, 2025 · pp. 1–7 Read article