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338 articles for “police data”
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Country Cluster Visualization Based on Agricultural Imports: Unsupervised Learning Approach
Abstract: The clustering algorithm used in this analysis makes it easier for policymakers to understand performance metrics. K-means clustering has been demonstrated to be a tool for analyzing countries' agricultural imports and a visualization tool for interpreting the results in this study. Authors have used agricultural imports from 190 nations from Knoema, a web-based open data platform. Cereals, meat, and coffee imports from 190 nations in 2016 are included in the …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 11, Issue 1, 2024 · pp. 1–7 Read article
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Innovative Approaches in Design and Materials for Climate-adaptive Transport Infrastructure
Abstract: This comprehensive research delves into pioneering approaches in design methodologies and the utilization of advanced materials aimed at significantly enhancing the resilience of transportation infrastructure against the multifaceted and escalating impacts of climate change. As critical challenges such as sea-level rise, increased frequency and intensity of extreme weather events, and changing precipitation patterns become more prevalent, there is an urgent need for innovative materials and integrated design strategies that can …
Published in Trends in Transport Engineering and Applications · Vol. 11, Issue 2, 2024 · pp. 14–19 Read article
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Operational Planning and Allocation of Distributed Generation in Distribution System: A Review
Abstract: Distributed generation refers to the generation of electricity from a variety of small, decentralized energy sources that are located close to the point of use, rather than relying solely on large, centralized power plants. These small-scale power sources can include renewable energy technologies like solar panels, wind turbines, and micro-hydro systems, as well as conventional fossil fuel generators or combined heat and power (CHP) systems. Distributed generation systems can be …
Published in Journal of Control & Instrumentation · Vol. 14, Issue 2, 2023 · pp. 24–29 Read article
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A Research on the Additives and Regulatory Requirements for Pediatric Formulation
Abstract: These days, pediatric considerations are incorporated early on in the creation of new medications. The guidelines and policies of European drug regulatory bodies served as the foundation for our investigation. The review comprehensively outlines excipients commonly found in pediatric medicine formulations. It identifies potentially harmful compounds flagged by scientific literature, stressing the necessity of rigorous safety checks, often involving toxicity studies. Excipients included in pediatric databases, like the STEP database, …
Published in Research & Reviews: A Journal of Drug Formulation, Development and Production · Vol. 11, Issue 1, 2024 · pp. 28–45 Read article
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Exploring AI-Driven Student Performance Analysis as a Dimension of an AI-Powered Assessment and Feedback System: A Comprehensive Review
Abstract: The rapid proliferation of artificial intelligence (AI) in educational technology has heralded a paradigmatic transformation in assessment methodologies, transitioning from static, summative evaluations to dynamic, data-driven systems that emphasize continuous formative feedback. This comprehensive review interrogates AI-driven student performance analysis as a cardinal dimension of AI-powered assessment and feedback systems (AI-PAFS), synthesizing findings from forty-five rigorously curated open-access empirical studies published between 2015 and 2024. Employing a methodological lens, the …
Published in Current Trends in Information Technology · Vol. 16, Issue 1, 2025 · pp. 24–31 Read article
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Return on Investments and Payback Period Calculations for Solar Rooftop Power Plants: A Case Study for Gujarat, India
Abstract: Solar roof-top and ground-top systems are proven technology now-a-days. The roof-top systems are becoming popular in residential, commercial and industrial consumers. This paper deals with payback period calculations for 1 kW and 2 kW domestic and 15 kW industrial users at Rajkot, Gujarat, India. Different solar PV investment models are discussed here in this paper. Actual solar power generation data, as well as the project data for the different sites, …
Published in Journal of Power Electronics and Power Systems · Vol. 8, Issue 1, 2018 · pp. 24–28 Read article
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Analysis of Safety Behaviour of Workers under Small-Scale Construction Sites: A Case Study of Anambra State
Abstract: Small-scale construction companies are predominant in developing countries and it is the most hazardous place in construction sites. Accidents mostly occur on construction sites due to a high level of safety ignorance and the nonchalant attitude of workers and management. The research aimed to investigate the actual behaviour of workers at the selected sites in terms of safety compliance, nutrition, alcohol use and smoking. This is highly necessary due to …
Published in Journal of Industrial Safety Engineering · Vol. 9, Issue 3, 2022 · pp. 37–46 Read article
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Trend analysis of Normalized Difference Vegetation Index using Landsat Satellite data: Study from in and Gondar town, North West Ethiopia
Abstract: Abstract This current research study presents the change detection method for the study of Satellite image supported on Normalized Difference Vegetation Index (NDVI). NDVI utilizes the Multi-Spectral remote sensing data method to determine Vegetation Index, land cover classification, vegetation, water bodies, bush land, agricultural area, thick forest and thin forest with few bands grouping of the remote sensed data. Land resources are easily understood by calculating their Normalized Difference Vegetation …
Published in Journal of Control & Instrumentation · Vol. 10, Issue 3, 2019 · pp. 25–33 Read article
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Iris-Based Railway Systems: Advancements in Ticketing and Passenger Verification
Abstract: As railway transportation continues to expand and modernize, ensuring the safety and security of passengers, staff, and infrastructure has become a major priority. Traditional security methods, including manual identity verification, paper-based ticketing, and conventional access control systems, are often limited in their ability to prevent unauthorized access, identity fraud, and operational delays. To address these challenges, this paper explores the integration of biometric authentication technologies into railway systems as a …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 13, Issue 2, 2026 Read article
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Carbon-Aware Autonomous AI Systems: Reinforcement Learning for Sustainable Cloud and Edge Computing
Abstract: The field of communication and information technology is expanding quickly. Because of this, a significant amount of carbon emissions are produced by cloud data centres and edge computing nodes. In fact they are now responsible for 3 to 4 percent of the worlds total greenhouse gas emissions. Most of the time people who manage these resources focus on how they are working and how quickly they can get things done.. …
Published in Journal of Energy, Environment & Carbon Credits · Vol. 16, Issue 2, 2026 Read article
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Current Trends and Modernization of Construction Industry in Pakistan
Abstract: The construction industry is the second largest industry of the country after agriculture. However, contrary to its share in local economic market, the development in this sector is not at par with market demands. Though the use of various new technologies and deployment of project management strategies has made it possible to undertake projects of mega scale yet the industry direly needs a developmental strategy that could maintain its competitiveness …
Published in Journal of Construction Engineering, Technology & Management · Vol. 6, Issue 2, 2016 · pp. 116–129 Read article
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Analytical Review on Cyber Risk Management
Abstract: One unsettling truth emerges from the modern landscape of cybersecurity risk management: managing cyber risk across the enterprise is more difficult than ever. Even the most skilled teams today may find it difficult to keep architectures and systems secure and compliant. "As more of our physical world is linked to and controlled by the virtual world, more of our business and personal information becomes digital", according to various industry veterans …
Published in Journal Of Network security · Vol. 10, Issue 1, 2022 · pp. 35–38 Read article
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Advanced Security Mechanisms for Protecting Mobile Devices: A Comprehensive Analysis of Threats and Counter Measures
Abstract: The digitization of clinical care has led to significant advancements in medical devices and telemetry, fundamentally transforming the healthcare landscape. These innovations have enhanced the quality of patient care by enabling more accurate diagnoses, real-time monitoring, remote consultations, and increased transparency in clinical workflows. As a result, modern medical practices have become more efficient, data-driven, and patient-centric. Devices such as infusion pumps, pacemakers, ventilators, and wearable monitors now rely heavily …
Published in Trends in Opto-electro & Optical Communication · Vol. 15, Issue 3, 2025 · pp. 24–31 Read article
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A Detailed Survey of Machine Learning Applications, Methods, and Future Prospects in Agriculture
Abstract: Agriculture is undergoing a digital transformation driven by machine learning (ML) and artificial intelligence. The integration of ML techniques with data from sensors, drones, satellites, and IoT devices has enabled precision agriculture, early disease detection, optimized resource use, and improved yield prediction. This paper presents a comprehensive review of machine learning applications in modern agriculture, covering key areas such as crop monitoring, soil analysis, irrigation scheduling, pest, and disease detection, …
Published in Research & Reviews : Journal of Agricultural Science and Technology · Vol. 15, Issue 1, 2026 · pp. 39–45 Read article
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Novel Strategic Framework for AI-Driven Discovery and Development of Smart and Sustainable Polymers in Healthcare
Abstract: The development of new smart and sustainable polymers is emerging as a priority of new health care innovative development, but event before it may be actualized, the usual culprit is the delay and unproductive execution of the old-fashioned R&D efforts. The current paper proposes a strategic plan which will solve all these shortcomings and speed up the material discovery process by using Artificial Intelligence (AI) and Machine Learning (ML). The …
Published in Journal of Polymer & Composites · Vol. 14, Issue 1, 2026 · pp. 1535–1550 Read article
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Digital Transformation in Public Transport Management
Abstract: The digital transformation of public transport systems has emerged as a critical driver for improving urban mobility and addressing the growing challenges of congestion, inefficiency, and environmental sustainability. Public transport management systems are advancing through the integration of cutting-edge technologies like cloud computing, artificial intelligence (AI), big data analytics, and the Internet of Things (IoT). These innovations enhance efficiency, intelligence, and user experience, making transportation more seamless and responsive to …
Published in Trends in Transport Engineering and Applications · Vol. 12, Issue 1, 2025 · pp. 17–21 Read article
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Bridging the digital divide for school students with Specific Learning Disability in India: A Systematic Literature Review
Abstract: This systematic literature review aims to investigate the educational materials now utilized in inclusive classrooms in India to close the digital divide for children with specific learning disabilities (SLD). With an emphasis on policy, assistive technology, and teacher preparedness, the goal is to assess how well these resources work to create inclusive learning environments and look at how they might be tailored to help different learners. The review followed PRISMA …
Published in International Journal of Education Sciences · Vol. 2, Issue 2, 2025 · pp. 17–25 Read article
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AI-Based Sentiment Analysis of Public Perception Under Bangabandhu Sheikh Mujibur Rahman
Abstract: Sheikh Mujibur Rahman, known as Bangabandhu, played a pivotal role in Bangladesh’s post-liberation period (1971–1975). Understanding public sentiment during his leadership is crucial for historical analysis. This study employs Artificial Intelligence (AI)-based Sentiment Analysis to examine public perception through archived newspapers, parliamentary speeches, and historical records. Using Natural Language Processing (NLP) techniques, including sentiment classification and opinion mining, we analyze textual data to assess the prevailing public mood during his …
Published in International Journal of Algorithms Design and Analysis Review · Vol. 3, Issue 2, 2025 · pp. 21–29 Read article
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Remote Sensing and GIS-Based Approaches for Groundwater Contamination Assessment: A Comprehensive Review of Methods, Sources, and Emerging Trends
Abstract: Groundwater contamination poses a serious threat to sustainable water resources, especially in developing regions with limited monitoring infrastructure. This review provides an in-depth analysis of remote sensing (RS) and geographic information system (GIS) techniques applied to identify, monitor, and assess groundwater contamination. The study categorizes major sources of pollution, including industrial effluents, agricultural runoff, and geogenic inputs and examines how multispectral and hyperspectral satellite data contribute to indirect mapping of …
Published in Journal of Remote Sensing & GIS · Vol. 16, Issue 3, 2025 · pp. 39–49 Read article
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Leveraging Information Technologies (IoT, Sensor Technologies, AI, and Data Analytics) in Healthcare and Agriculture
Abstract: This paper explores the powerful convergence of digital technologies — the Internet of Things (IoT), Sensor Technologies, Artificial Intelligence (AI), and Data Analytics — in transforming healthcare and agriculture. Both sectors face pressing global challenges: rising population demands, environmental stress, disease burdens, unequal access to services, and food insecurity. Conventional systems alone cannot meet future needs. However, technology-driven, real-time data-driven systems offer innovative solutions: from automating diagnostics to forecasting pest …
Published in Journal of Telecommunication, Switching Systems and Networks · Vol. 12, Issue 3, 2025 · pp. 20–28 Read article