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51 articles for “AI-assisted programming”
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AI-Assisted Programming, Memory Safety, Multi-Paradigm Design and Emerging Development Models
Abstract: As the field of artificial intelligence (AI) continues to evolve at a fast pace, and specifically with the rise of large language models (LLMs), the software design, implementation, testing, and maintenance landscape has undergone unprecedented transformation. Although programming languages are still the main language for writing computational logic, the way developers interact with programming languages is now increasingly mediated by AI-based tools. Current AI coding systems can help with code …
Published in Recent Trends in Programming languages · Vol. 13, Issue 2, 2026 · pp. 43–50 Read article
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A Study to Assess the Effectiveness of Video-assisted Teaching Programme on Knowledge Regarding Prevention and First Aid Management of Snakebite Among Mahatma Gandhi National Rural Employment Guarantee Scheme (MGNREGS) Workers in Selected Areas at Wayanad
Abstract: This study aimed to assess the impact of a video-assisted instructional program on the awareness of snake bite prevention and first aid practices among MGNREGS workers in Meppadi Panchayath, Wayanad. Using a quasi-experimental one-group pre-test post-test research approach, the study included 60 participants selected through convenient sampling. The participants' demographics revealed a varied distribution, with the majority falling within the 36–45 year age bracket (35%) and having an educational background …
Published in International Journal of Emergency and Trauma Nursing and Practices · Vol. 1, Issue 2, 2023 · pp. 9–13 Read article
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AI-Native Programming Languages: Reconsidering Programming Language Selection in the Era of Generative AI and Autonomous Coding
Abstract: The role of programming languages is undergoing a significant transformation as generative artificial intelligence becomes integrated into everyday software development. Programming is gradually moving from an activity dominated by manual source code production toward a collaborative environment in which developers work with large language models, intelligent coding assistants, automated testing systems, and increasingly autonomous software agents. This transformation introduces a new dimension to programming language selection. Historically, programming languages have …
Published in Recent Trends in Programming languages · Vol. 13, Issue 2, 2026 · pp. 1–16 Read article
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Challenges, Risks, and Limitations of Vibe Coding in AI-Assisted Software Development
Abstract: Vibe coding is a new way of programming driven by LLMs (large language models). It helps developers write code from natural language. Developers can use prompts with artificial intelligence (AI) for code generation. AI assistants generate software directly through text. They can now perform tasks and understand user requirements. This process makes software development faster and easier for developers, but vibe coding has some drawbacks. Sometimes, it leads to security …
Published in Recent Trends in Programming languages · Vol. 13, Issue 1, 2026 · pp. 43–48 Read article
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Advances in Shell Programming: Techniques, Tools, and Emerging Trends
Abstract: Shell programming has undergone a significant transformation, shifting from simple command-line interactions to a mature, versatile scripting environment that supports modern computing needs. Over time, shells such as Bash, Zsh, and PowerShell have expanded far beyond basic task execution, evolving into powerful tools capable of handling complex automation workflows, system configuration tasks, and cross-platform orchestration. These environments now offer improved error handling, stronger security features, integrated performance-monitoring options, and more …
Published in Journal of Advances in Shell Programming · Vol. 12, Issue 3, 2025 Read article
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Evaluating the Impact of a Video-Assisted Teaching Program on Knowledge and Attitudes About Teenage Pregnancy Prevention Among Fortunetellers Community Women in a Selected Region of Madurai District
Abstract: This research aims to evaluate the efficacy of a video-assisted teaching program in preventing teenage pregnancy, gauge participants' knowledge and attitudes regarding teenage pregnancy prevention, explore the relationship between their knowledge and attitudes, and examine how demographic variables correlate with pre-test knowledge and attitudes. The research hypotheses were formulated to determine their significance. A survey of the literature was done and organized based on studies related to teenage pregnancy. The …
Published in International Journal of Evidence Based Nursing And Practices · Vol. 2, Issue 1, 2024 · pp. 26–31 Read article
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A Study to Evaluate the Effectiveness of a Computer-assisted Teaching Program on Knowledge About the Distribution and Use of Iron and Folic Acid Tablets During the Antenatal Period Among Primigravida Mothers in Selected Villages of Holenarasipura Taluk, Karnataka
Abstract: Pregnancy is a critical period in a mother’s life, and proper knowledge about managing pregnancy is essential for maternal and fetal health. This study aimed to evaluate the effectiveness of a computer-assisted teaching program in improving knowledge about the distribution and use of iron and folic acid tablets among primigravida mothers in selected villages of Holenarasipura taluk. A one-group pre-test and post-test pre-experimental design was employed, using non-probability convenience sampling …
Published in International Journal of Midwifery Nursing And Practices · Vol. 2, Issue 2, 2024 · pp. 28–40 Read article
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The Impact of a Video-Assisted Teaching Program on the Prevention of Homicide Among Undergraduate Nursing Students at Selected Nursing Colleges in Bagalkot
Abstract: Nomophobia, or the fear of being without a mobile phone, has emerged as a prevalent psychological concern in the 21st century, significantly affecting individuals' mental well-being, particularly among younger populations. This phobia can lead to feelings of anxiety, stress, and even depression, resulting from the constant dependence on mobile devices for communication and social interaction. The study aimed to evaluate the effectiveness of a video-assisted teaching program in preventing nomophobia …
Published in International Journal of Evidence Based Nursing And Practices · Vol. 3, Issue 1, 2025 · pp. 67–73 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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Antimicrobial Resistance and AI-Based Strategies for Rapid Pathogen Detection
Abstract: Antimicrobial resistance (AMR) has become a major global health threat, significantly reducing the effectiveness of antimicrobial therapies and increasing the burden of infectious diseases worldwide. The rapid emergence of multidrug-resistant pathogens has created an urgent need for faster, more accurate, and scalable diagnostic approaches to support timely treatment and effective infection control. Artificial intelligence (AI) has emerged as a promising technology capable of transforming pathogen detection and AMR surveillance through …
Published in Recent Trends in Infectious Diseases · Vol. 3, Issue 2, 2026 · pp. 26–36 Read article
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Cost Objective Model for Construction Equipment Replacement Policies
Abstract: Most construction companies, particularly companies whose projects are primarily constructed with earthmoving equipment, depend heavily on their construction equipment fleets, which represent substantial locked capital investment and require acceptable utilization levels to recover expenses incurred and losses from this investment. The equipment, which possesses a finite physical and economic life, inevitably requires replacement, and equipment maintenance costs increase with the equipment life. Different methodologies are employed to establish the replacement …
Published in Journal of Construction Engineering, Technology & Management · Vol. 4, Issue 2, 2014 · pp. 1–13 Read article
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Innovative Applications of AI and Machine Learning in Voice-Driven Systems: Friday AI 2.0
Abstract: The development of artificial intelligence (AI) has enabled the development of increasingly sophisticated models that can understand and react to human questions. This study introduces Friday AI-2.0, a cutting-edge AI model that improves user engagement by using natural language processing (NLP) and voice synthesis technologies to produce text-based and audio-based responses. By increasing engagement through an intuitive and engaging interface, Friday AI-2.0 seeks to improve the user experience. By describing …
Published in Journal of Multimedia Technology & Recent Advancements · Vol. 12, Issue 3, 2025 · pp. 01–09 Read article
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Real-time Conversational AI Application for Healthcare Domain
Abstract: Real-time Conversational AI Application for Healthcare Domain’s primary goal is to create a real- time communication plan to reduce low-pitch sounds and noise levels. We’re using Nvidia Nemo SDK, Nvidia Riva, Amazon Services, and open-source platforms like RASA and Facebook Blender 2.0 chatbot. Our chatbot differs from conversational AI-based chatbots because neural networks are used in text mining consumer feedback. We can say that Conversational AI applications are Intelligent Virtual …
Published in Journal of Instrumentation Technology & Innovations · Vol. 13, Issue 2, 2023 · pp. 11–31 Read article
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Machine Learning Using Python
Abstract: Machine learning (ML) is a subset of artificial intelligence (AI) that enables software applications to become more accurate at predicting outcomes without explicitly programming them to do so. Machine learning algorithms predict new output values by using historical data as input. In this project, we have used data from the 1994 U.S. Census to model people's income using numerous supervised algorithms of your choice. The best candidate algorithm will then …
Published in Recent Trends in Programming languages · Vol. 8, Issue 3, 2021 · pp. 25–37 Read article
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Smart Fitness Assistance using AI
Abstract: In computer vision, human body pose estimation is the study that aims at predicting the poses of human body parts and joints. In this project, visual languages are built based on skeleton poses. We present a real-time body tracking pipeline that predicts body posture. Once the joints of the body have been localised to represent a specific part of the human body, we can use them for wider ranges of …
Published in Journal of Open Source Developments · Vol. 9, Issue 1, 2022 · pp. 11–16 Read article
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VolleyNexis AI: A Multimodal Artificial Intelligence Framework for Opponent Strategy Prediction, Tactical Intelligence, and Athlete Performance Optimization in Volleyball
Abstract: The rapid advancement of Artificial Intelligence (AI) has profoundly transformed sports analytics, enabling deeper insights, real-time data analysis, and enhanced performance predictions. Noticeable results have been seen by enabling automated analysis of complex gameplay patterns along with athlete performance. Volleyball is a dynamic and strategic sport, which requires continuous tactical adjustments and constant monitoring of the player’s performance. This paper presents VolleyNexis AI, which is a multimodal artificial intelligence framework …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 13, Issue 2, 2025 Read article
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Foundry 4.0: Revolutionizing Casting Production with Computerized Systems
Abstract: For a considerable amount of time, foundries used computers for handling inventory, waging, wages, accounting, personnel records, and quality control. Nearly all of the foundry's systems and machinery are computerized. Through the installation of computers in foundries, employees' workloads and levels of stress have reduced significantly, and the workplace feeling has greatly improved. This review paper explores the potential implications and functions of computers in foundries. A thorough explanation of …
Published in International Journal of Machine Systems and Manufacturing Technology · Vol. 1, Issue 2, 2023 · pp. 1–11 Read article
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Breast Cancer Detection and Multiple Classification Using CNN
Abstract: Although some efforts have been made in the form of preventative screening programs, breast cancer remains one of the rising causes of death in women. Computer-assisted diagnosis is needed because of the rapidly increasing number of mammograms that can be collected by these programs. Performance metrics are not significantly improved by computer aided detection methods designed to improve diagnosis without a large number of sequential readings. In this context, self-imaging …
Published in Research and Reviews: Journal of Oncology and Hematology · Vol. 12, Issue 2, 2023 · pp. 28–38 Read article
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In silico PASS-Assisted Biological Activity Predictions of a Phytoconstituent Astilbin isolated from Thelypteroid fern Sphaerostephanos arbuscula (Willd.) Holttum
Abstract: Pteridophytes are the most important land plants with enormous medicinal properties. The medicinal properties of this group of plants mainly depend upon the numerous phytoconstituents present inside the plants. In the present study, the biological activity spectra of a phytoconstituent Astilbin isolated from Thelypteroid fern Sphaerostephanos arbuscula was predicted using computer-aided program—Prediction of Activity Spectra for Substances (PASS). The PASS predicted activity of Astilbin exhibited its various probable activities (Pa). …
Published in Research and Reviews : A Journal of Biotechnology · Vol. 6, Issue 2, 2016 · pp. 24–29 Read article
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A Review on the Regulatory Study for Implementation of Schedule-M Amendments in Pharmaceutical Industries in India
Abstract: A major regulatory change in pharmaceutical manufacturing industry in India is the introduction of the updated Schedule M (2023–2024). The aims to compliance the country's Good Manufacturing Practices (GMP) with international quality standards. The review evaluates the Schedule M amendments implementation strategies, industrial impact and regulatory relevance. Legislative texts, official notices, WHO GMP reports, ICH guidelines, guidance documents of CDSCO and peer-reviewed literature were all explored as part of the …
Published in Research & Reviews: A Journal of Drug Formulation, Development and Production · Vol. 13, Issue 2, 2026 Read article