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165 articles for “face identification”
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Vocational Education in Higher Secondary Schools: A Review of Factors Influencing Student Interest and Attitudes
Abstract: The study investigates the essential aspects influencing students' motivation and attitudes toward vocational education in higher secondary schools, emphasizing its changing importance in current educational systems. Vocational education, which focuses on hands-on training and real-world applications, is critical in closing the gap between academic learning and the labor market. Despite its promise to promote employment, diversity, and economic development, vocational education faces considerable obstacles, such as societal stigma, insufficient resources, …
Published in International Journal of Education Sciences · Vol. 2, Issue 2, 2025 · pp. 1–10 Read article
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An Analytical study of Government Scheme for Farmers in Gujarat: Impact, Implementation Challenges, and Policy Implications
Abstract: Gujarat’s economy is mostly dependent on agriculture, which increases food security, rural employment, and state revenue. Despite the state’s notable progress in irrigation infrastructure and agricultural commercialization, Gujarat farmers continue to face challenges, such as market volatility, water scarcity, unpredictable weather, and rising input costs. The governments of Gujarat and India have implemented several initiatives aimed at addressing these problems, including crop insurance, irrigation expansion, farm mechanization, income support, digital …
Published in International Journal of Rural and Regional Development · Vol. 4, Issue 1, 2026 · pp. 38–44 Read article
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Agrobot: IoT Enabled Crop-care
Abstract: Agriculture serves as the foundation of global civilization, particularly in nations like India, where it accounts for roughly 70% of the GDP, underscoring its pivotal role in economic stability. Despite its significance, traditional agricultural practices have often overlooked critical elements such as disease identification and precise pesticide application, focusing primarily on conventional methods like harvesting and seedling techniques. To address these gaps and usher in a new era of efficiency …
Published in Journal of Experimental & Applied Mechanics · Vol. 15, Issue 1, 2024 · pp. 38–45 Read article
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India’s Traditional Medicine Trade (2015–2024): Trends, Regulatory Landscape, and Policy Directions for Sustainable Growth
Abstract: India is a major global supplier of traditional medicine products – including Ayurvedic, Unani, Siddha, homeopathic, and other herbal and plant-based formulations – yet exports continue to face challenges arising from regulatory divergence, heterogeneous quality-control requirements across markets, and raw-material supply constraints linked to biodiversity pressure and fragmented value chains. This paper systematically analyzes India’s import-export patterns for traditional medicine between 2015 and 2024, maps the regulatory landscape (DGFT, Drugs, …
Published in Research & Reviews : A Journal of Unani, Siddha and Homeopathy · Vol. 13, Issue 1, 2026 · pp. 13–18 Read article
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Stretching Boundaries: A Comprehensive Review of Ehlers-Danlos Syndrome and its Subtypes
Abstract: The Ehlers-Danlos syndromes (EDS) encompass 13 inheritable disorders affecting connective tissue. These conditions arise from genetic alterations impacting the structure of connective tissue. Every variant of Ehlers-Danlos syndrome (EDS) exhibits distinct features and has specific diagnostic criteria. While certain traits such as joint hypermobility, skin hyperextensibility, and tissue fragility are common across all types of EDS. The range of clinical presentations spans from minor skin and joint looseness to severe …
Published in International Journal of Genetic Modifications and Recombinations · Vol. 2, Issue 1, 2024 · pp. 44–57 Read article
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Explainable Machine Learning Integrated with Polymer-Based Diagnostic Technologies for Liver Health Classification
Abstract: Early and reliable assessment of liver health is essential for timely treatment, yet most machine-learning approaches face limitations such as class imbalance and low clinical interpretability. This study proposes a polymer-integrated, explainable machine-learning framework that combines SMOTE-based data balancing, Logistic Regression, and XAI techniques (SHAP and LIME) for transparent liver-health classification. In addition to ML modelling, the study emphasizes the emerging role of polymer-based biosensors, microfluidic polymer chips, polymer nanomaterials, …
Published in Journal of Polymer & Composites · Vol. 14, Issue 3, 2026 · pp. 631–643 Read article
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Digital Transformation of Urban Infrastructure with the Help of AI Guardians
Abstract: The construction industry continues to face challenges related to quality control, safety protocols, and meeting project deadlines. These issues often result in significant cost overruns and project delays. Traditional inspection and site management approaches rely heavily on manual work and individual judgment. As a result, human errors can easily occur, and these methods provide only limited snapshots of site conditions over time. This paper presents a comprehensive framework that uses …
Published in Recent Trends in Civil Engineering & Technology · Vol. 16, Issue 1, 2026 · pp. 16–25 Read article
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Application of Grey Wolf Optimizer (GWO) strategy for Malware Analysis
Abstract: The ever-evolving landscape of cybersecurity necessitates continuous advancements in malware analysis techniques. This study explores the deployment of the Grey Wolf Optimizer (GWO) algorithm as a novel bio-inspired optimization mechanism to address the challenges posed by modern malware threats. The primary objective is to enhance various facets of malware analysis, including feature selection, parameter optimization, and the overall efficacy of malware detection models. The study begins by introducing the GWO …
Published in International Journal of Wireless Security and Networks · Vol. 1, Issue 2, 2023 · pp. 43–53 Read article
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Drone Swarms: An overview and working in network control systems
Abstract: The review of multi-agent systems, including drone swarms, has gained momentum due to their ability to exhibit cooperative behavior. Automating the control of a drone swarm poses substantial challenges due to the diverse wireless, networking, and environmental constraints each drone faces. To address these challenges, we treat drone swarms as Networked Control Systems (NCS), integrating the overall system control within a wireless communication network. This approach relies on a strong …
Published in International Journal on Drones · Vol. 1, Issue 1, 2025 · pp. 13–35 Read article
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Beyond Conventional Purification: India’s Journey in Water Technology and Governance
Abstract: India is facing mounting challenges in water availability and quality due to rapid urbanization, industrial growth, climate change, and population pressure. Over the past decade, significant advances have been made in water treatment technologies, driven by increasing demand, stricter environmental regulations, and the need for sustainable solutions. This review critically examines recent technological innovations in water treatment, including membrane-based filtration, advanced oxidation processes, decentralized systems, and nature-based solutions, with a …
Published in Journal of Water Resource Engineering and Management · Vol. 12, Issue 3, 2025 · pp. 12–19 Read article
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Heavy Metal Contamination of Groundwater in Malwa Region of Punjab and Potential Technological Solutions
Abstract: Bathinda is part of the Malwa region of Punjab and is part of a belt which was earlier called the cotton belt of India but is now hailed as the cancer belt of India. The Malwa region faces high cancer incidence rates. For every 1 million people living in this region, 1089 are diagnosed with cancer. The rate of cancer in the Malwa region is 36.13% higher than the national …
Published in Journal of Water Pollution & Purification Research · Vol. 11, Issue 3, 2024 · pp. 1–14 Read article
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Bacteriophages- A New Frontier in Medicine
Abstract: Bacteriophages, or phages, are viruses that specifically target and infect bacteria, offering an innovative alternative to traditional antibiotic treatments, especially in the face of rising antibiotic resistance. The resurgence of phage therapy has been driven by the increasing prevalence of multidrug-resistant bacterial strains and the slowdown in the development of new antibiotics. Phages, unlike antibiotics, target specific bacterial strains, reducing the impact on the natural microbiota and potentially offering a …
Published in International Journal of Virus Studies · Vol. 1, Issue 2, 2024 · pp. 31–35 Read article
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Enhanced Management of an Eco-Friendly Ready-Mix Concrete Batching Facility for Superior Concrete Production
Abstract: The construction industry plays a crucial role in the global economy. At the heart of this industry is concrete, a material that is essential for buildings. Ready-mix concrete (RMC) is becoming increasingly favored for its quick setting characteristics and high-quality performance. In India, the rising demand for RMC underscores the importance of strict quality management to mitigate potential structural risks. This study set out to explore how quality management is …
Published in Recent Trends in Civil Engineering & Technology · Vol. 15, Issue 2, 2025 · pp. 25–31 Read article
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Aura Pulse: An AI-Powered System for Real-Time Emotional Support and Personalized Recommendations
Abstract: Aura Pulse is a cutting-edge AI-powered platform developed to provide real-time emotional support, tackling the growing challenges of stress, anxiety, and burnout in today’s fast-moving digital era. Utilizing advanced facial expression analysis, Aura Pulse interprets visual cues to create a comprehensive emotional profile of the user. This instant emotional evaluation enables the platform to deliver personalized suggestions aligned with the user’s mood and mental state, promoting overall well- being and …
Published in Journal of Advancements in Robotics · Vol. 13, Issue 1, 2026 · pp. 18–25 Read article
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A Supervised Learning Approach for Toxic Comment Detection on Social Media Platforms
Abstract: Nowadays everyone uses social media platforms like X (formerly Twitter), Instagram, Facebook, etc. for various purposes. With the help of this, we share our opinions, ideas, and feelings. Generally, the datasets obtained from the internet are constructive; however, there is a significant proportion of toxic ones. The datasets are filtered to remove noise, and noise is removed in post-processing. The study initiates with the upload and preprocessing of a toxic …
Published in Journal of Mobile Computing, Communications & Mobile Networks · Vol. 11, Issue 2, 2024 · pp. 7–14 Read article
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Balancing Growth and Sustainability: Developing a Socio-ecological Urban Design Framework for Edge Cities
Abstract: In the rapidly urbanizing world, edge cities, urban areas situated on the outskirts of larger metropolitan regions have emerged as dynamic centres of economic activity. However, their development often prioritizes growth over sustainability, leading to ecological degradation and social inequities. This dissertation presents a socio-ecological urban design framework aimed at balancing growth with sustainability in edge cities. By integrating principles from ecology, sociology, and urban planning, this framework addresses the …
Published in International Journal of Urban Design and Development · Vol. 4, Issue 2, 2026 · pp. 1–24 Read article
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An Intelligent Neural Networks Approach for Monitoring of Soilless Urban Farms
Abstract: Urban agriculture is increasingly recognized as a sustainable approach to addressing food security challenges in rapidly growing and densely populated cities. Conventional soil-based farming often faces limitations such as space scarcity, excessive water consumption, and environmental degradation. To overcome these challenges, soilless farming techniques such as hydroponics and aeroponics have gained significant attention due to their efficient utilization of space, reduced water requirements, and potential for year-round crop production. However, …
Published in Journal of Water Resource Engineering and Management · Vol. 12, Issue 3, 2025 · pp. 31–37 Read article
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Linear Programming for Profit Optimization in Small-Scale Manufacturing: A Python-Based Simplex and Machine Learning Approach
Abstract: Profit maximization under resource constraints is a classic challenge. Small manufacturers face tight margins and scarce capital every day. This paper tackles that problem using four Python-based methods. The case study is Bintang Bakery in Bandar Lampung, Indonesia. The bakery makes three bread types and faces 18 resource constraints. Data comes from Anggoro et al. Methods tested include LP revised simplex, Differential Evolution, PSO, and ANN Surrogate. General-purpose scipy minimizers …
Published in Research & Reviews : Journal of Statistics · Vol. 15, Issue 2, 2026 · pp. 01–12 Read article
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Evaluation of Emergency Response Plans in Industrial Environments Using Simulation Techniques
Abstract: Industrial facilities, particularly those in the chemical, manufacturing, and energy sectors, face significant hazards due to their complex operations and the handling of hazardous materials. Ensuring the safety of workers and minimizing the impact of incidents require robust and effective emergency response plans (ERPs). Traditional evaluation methods, such as drills and tabletop exercises, often fall short in replicating the complexities of real-world emergencies. These methods may lack the realism needed …
Published in Journal of Industrial Safety Engineering · Vol. 11, Issue 3, 2024 · pp. 6–10 Read article
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Blockchain-Based Smart Agri-Food Supply Chain Management System with User-Centric Design for Enhanced Consumer Trust
Abstract: Existing blockchain-based solutions for agri-food supply chains primarily focus on internal traceability and efficiency while neglecting consumer-facing functionalities. Building consumer trust requires not only a secure and transparent supply chain but also user-friendly interfaces for easy access to product information and journey tracking. This study addresses this gap by implementing a blockchain-based agri-food supply chain system with a user-centric design. Beyond internal transparency, the system features an intuitive consumer interface …
Published in Journal of Advanced Database Management & Systems · Vol. 13, Issue 1, 2026 Read article