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166 articles for “Human-AI interaction”
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The Evolution of Computer Languages: Fundamentals, Paradigms, and Consequences
Abstract: In today’s society, computers are important tools because they let us quickly analyze, store, and share information. A variety of programming languages that let people talk to machines are at the heart of how computers work. These languages, which are divided into low-level and high-level kinds, connect human logic and machine actions. Low-level languages such as machine code and assembly allow direct interaction with computer hardware. In contrast, high-level languages …
Published in International Journal of Computer Science Languages · Vol. 4, Issue 1, 2026 · pp. 16–28 Read article
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Deep Learning Applications: An Overview
Abstract: It is essential that the data be handled with accuracy, and certain exercises are carried out so that the computers can think and act on their own, which is where the advanced time of Deep Learning comes in. A computer needs access to earlier information and interactions in order to think. The use of Deep Learning in diverse geographies will be discussed in this study. Many experiments have been conducted …
Published in Journal of Advancements in Robotics · Vol. 9, Issue 2, 2022 · pp. 8–15 Read article
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Historical Study of River Komadugu Yobe and Sustainable Rural Livelihoods in North-Eastern Yobe State: Impacts, Potentials, and Challenges
Abstract: The present paper is a historical study of river Komadugu Yobe and sustainable rural livelihoods in North Eastern Yobe state with emphasis on impacts, potentials, and challenges. Sub Saharan Africa with the most dry lands, faces myriads of problems, the most critical being deepening poverty and environmental degradation portending livelihoods and food insecurities in the region. Indeed, Millennium Development Goals aimed at poverty reduction and environmental sustainability is most relevant …
Published in Research & Reviews : Journal of Ecology · Vol. 12, Issue 1, 2023 · pp. 40–50 Read article
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A Novel Approach of Gait Recognition Using LDA, PAL and Neural Network Technique
Abstract: Gait recognition is one type of biometric technology that can be used to the monitor person without their any cooperation. Controlled atmospheres for example; military installations, banks and even airports required to be able to rapidly detect threats and give differing stages of access to various customer groups. Gait presents a specific way or moving manner on the foot and gait recognition is the recognizing procedure an individual through the …
Published in Recent Trends in Parallel Computing · Vol. 2, Issue 3, 2015 · pp. 27–35 Read article
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SpeakEasy: Python’s Desktop Companion for Effortless Interaction
Abstract: With their ability to use natural language processing to enable hands-free technological engagement, voice assistants have become an indispensable aspect of modern living. This paper describes how to create a voice assistant with the Python programming language by utilizing its powerful libraries and frameworks for task automation, speech recognition, and natural language processing. The system architecture makes use of several Python modules, including PyAudio, NLTK (Natural Language Toolkit), and Speech …
Published in Current Trends in Signal Processing · Vol. 14, Issue 1, 2024 · pp. 15–23 Read article
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Inside the Mind of the Machine: An Exploratory Study of Street Fighter Players using Voice Recognition System
Abstract: AbstractComputer games are part of our modern way of life. However, sure classes of human beings are excluded from this shape of leisure and social interaction because they are not able to use the interface of video games. The cause for this may be deficits in motor manage, vision or listening. By the use of automated speech popularity structures (ASR), voice pushed instructions may be used to control the game, …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 7, Issue 3, 2020 · pp. 35–39 Read article
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IOT-Driven Room Security: Face Detection and Pin Access Control
Abstract: In our ever-evolving digital world, ensuring the security of our personal spaces has become paramount. This research paper introduces a smart anti-theft system powered by the Internet of Things (IoT). It combines face recognition, PIN code access, and motion-triggered face verification to fortify room security. If an unauthorized person tries to enter, the system instantly alerts both the owner and authorized users, while automatically locking the room. The term "Internet …
Published in Journal of Instrumentation Technology & Innovations · Vol. 13, Issue 3, 2023 · pp. 12–17 Read article
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Artificial Intelligence-Based Workforce Analytics Framework for Predicting Employee Engagement and Continuous Performance Improvement: Evidence from Tata Steel
Abstract: In large, diversified manufacturing organizations, managing employee engagement and sustaining performance require systematic understanding of workload distribution, employee sentiment, and workplace experience. This study examines the role of AI-enabled workforce analytics as a strategic human resource management tool through a case study of Tata Steel. The research positions artificial intelligence not as a technical innovation, but as a people-analytics decision-support mechanism that assists HR leaders in identifying early indicators of …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 13, Issue 3, 2025 Read article
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Epitope-Based Peptide Vaccine Design Against Nuclear Protein EBNA3C of Epstein-Barr Virus: An Approach to Treat Multiple Sclerosis
Abstract: Almost 95% of the world’s population is affected by the Epstein-Barr virus (EBV); it is an oncogenic virus of herpes virus family. The nuclear protein Epstein-Barr nuclear antigens (EBNA)-3C of EBV are related to multiple sclerosis (MS) which is an inflammatory disease of the nervous system. Regardless of multiple occurrences of infections due to EBV and shortage of licensed antiviral drugs, there is not much advancement on vaccine designed for …
Published in Research and Reviews : A Journal of Life Sciences · Vol. 9, Issue 1, 2019 · pp. 62–72 Read article
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Cyto-toxicity of Silver Nanoparticles on A Bacterial Population Isolated From Lakewater
Abstract: Due to the increased industrial and consumer applications, there is growing concern regarding the possible risk associated with their environmental exposure. Silver nanoparticles are considered to be toxic both to environment and human beings after a permissible limit. The aim of the present study was to explore the difference in toxicity mechanism of Silver nanoparticles (NPs) at low concentrations (≤1 μg/mL), in a lake-water bacterial consortia containing Bacillus marisflavi and …
Published in Research and Reviews: A Journal of Toxicology · Vol. 4, Issue 1, 2014 · pp. 22–25 Read article
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LLM Evolution: Secrets and Disadvantages
Abstract: The advancement of large language models (LLMs) has initiated a significant transformation in artificial intelligence, with substantial effects on fields including natural language processing, machine learning, and human-computer interaction. This research examines the diverse improvements in LLMs, emphasizing significant milestones from early models such as GPT-2 to contemporary state-of-the-art designs. The investigation highlights the novel training methodologies, such as unsupervised learning and transfer learning, which have markedly improved the capabilities …
Published in Journal of Web Engineering & Technology · Vol. 12, Issue 1, 2025 · pp. 25–36 Read article
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Innovations and Practices in Ornamental Horticulture: Integrating Landscape and Garden Design for Sustainable Aesthetics
Abstract: Ornamental horticulture is a specialized branch of horticultural science focusing on the cultivation, management, and utilization of plants for decorative and environmental purposes. With growing urbanization and lifestyle shifts, the importance of aesthetically pleasing and ecologically sustainable green spaces has significantly increased. Landscape design and garden design, both integral components of ornamental horticulture, contribute not only to the beautification of spaces but also to environmental conservation, mental well-being, and biodiversity …
Published in International Journal of Trends in Horticulture · Vol. 2, Issue 2, 2025 · pp. 13–19 Read article
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Hand Gesture Recognition
Abstract: The purpose of hand gesture is to provide attractive alternative to slow and complex inefficient device for human machine interaction. The interpretation of hand signs can help in easy naturalness in human machine interaction. Hand Gesture recognition will also provide with easy user-friendly interaction with the computer [1]. Hand gesture recognition is used for various purposes e.g. for driving a vehicle we can use hand gesture, new game technology and …
Published in Journal of Computer Technology & Applications · Vol. 9, Issue 2, 2018 · pp. 22–25 Read article
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End User Technology Acceptance Towards ERP in an Organization
Abstract: AbstractThis study aims to investigate the effects of four beliefs of a group of end users on the adoption of ERP systems. These beliefs are constructed based on Technology Acceptance Model (TAM). The beliefs examined were perceived usefulness, ease of use, expected capability, and expected value. One of the United Nations (UN) organizations has been selected as a case study for the research. A population of staff comprised from Human …
Published in Journal of Advancements in Library Sciences · Vol. 1, Issue 3, 2014 · pp. 43–53 Read article
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COVID-19: Impact on Human Health
Abstract: Researchers are on the cutting edge of devising the best strategy to combat the SARS-CoV-2 pandemic by studying and exploring the pathogenesis, prevention, and treatment as the world continues to be plagued by an increasing number of confirmed COVID-19 cases. The primary method for detecting the virus is via antigen testing and more accurate molecular tests such as rt PCR using patient samples. The most prevalent treatments for COVID-19 infection …
Published in Research and Reviews : A Journal of Immunology · Vol. 12, Issue 1, 2022 · pp. 1–8 Read article
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Smart Home Using Raspberry pi
Abstract: With the increase in the utilization of energy and population, there is a critical need to preserve energy in every way possible. Home automation is the use and control of home appliances remotely or automatically. A distantly accessible environment is a location in which each appliance can be remotely accessed and controlled using software as an interface. The aim of this paper is to build up a system that will …
Published in Journal of Microelectronics and Solid State Devices · Vol. 3, Issue 2, 2016 · pp. 11–15 Read article
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Medical Science in the Digital Era: A Comprehensive Study on Computing in Healthcare
Abstract: Adding computers to medical science has changed how healthcare is delivered, how research is done, and how well patients do. This article talks about the many ways that computer technology is used in modern medicine, such as for diagnostic imaging, electronic health records (EHRs), telemedicine, surgical robotics, and research that is based on data. Improvements in artificial intelligence (AI) and machine learning have made it possible to make more accurate …
Published in Research and Reviews : A Journal of Medical Science and Technology · Vol. 14, Issue 3, 2024 Read article
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A Chatbot Based on Artificial Intelligence and Machine Learning
Abstract: Artificial Intelligence (AI) has the potential to outperform human beings and to ultimately solve any problem one could think of and obtain high-productivity. AI depends heavily on both machine learning (ML) and deep learning (DL). Various studies show that people nowadays specially, the Gen-z are depressed out of loneliness. It is simple to recognize this reality as we take in our surroundings. Well, of course no one wants to be …
Published in Journal of Advancements in Robotics · Vol. 10, Issue 1, 2023 · pp. 25–31 Read article
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Assessment of Morphology and Land use Induced Environment Dynamics in Tikra Watershed of Brahmani River Basin
Abstract: This study examines the Tikra Watershed, a mining region in Talcher, Odisha, India, through the lens of its drainage system, land use changes, and environmental factors. Utilizing diverse datasets including DEMs, satellite imagery, and climate data, the study employs morphometric analysis, LULC change detection, and statistical techniques to gain insights into the watershed's characteristics and dynamics. Morphometric analysis reveals a compact drainage pattern with moderate stream development, indicating balanced interactions …
Published in Research & Reviews : Journal of Space Science & Technology · Vol. 12, Issue 2, 2023 · pp. 21–34 Read article
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Enhancing Customer Engagement with AI-Driven Movie Recommenders: Integrating Neural Collaborative Filtering, Sentiment Analysis, and Conversational Agents
Abstract: In today’s competitive digital landscape, user engagement is a critical factor for the success of entertainment platforms, especially those offering movie recommendations. This study introduces a comprehensive AI-driven framework designed to enhance customer interaction, satisfaction, and loyalty through the intelligent integration of multiple deep learning models. The system combines three core components: Neural Collaborative Filtering (NCF) for generating personalized movie recommendations based on user behavior and preferences, Long Short-Term Memory …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 12, Issue 3, 2025 · pp. 45–54 Read article