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1980 articles for “P-dA” (ranking capped at the first 2,000 matches — narrow the search to see the rest)
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Designing a Novel Insider Threat Model for Enhanced Cybersecurity
Abstract: Designing a novel insider threat model is a critical imperative in the realm of cybersecurity. As organizations face an ever-expanding threat landscape, insider threats, whether deliberate or inadvertent, present a formidable challenge to the safeguarding of sensitive data and critical assets. This abstract encapsulates the significance, challenges, and innovations inherent in crafting an effective insider threat model for enhanced cybersecurity. The necessity for novel insider threat models arises from the …
Published in International Journal of Information Security Engineering · Vol. 1, Issue 2, 2023 · pp. 24–27 Read article
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Birdwatcher’s Assistant: AI- Based Bird Species Classification
Abstract: Many bird species have gone extinct because of human activities and changes in the climate. The loss of habitats is a significant danger to global biodiversity. Therefore, it is important to monitor species distribution and identify the components of biodiversity in an area to develop conservation strategies. The ultimate objective is to build a machine learning model that can accurately differentiate between various bird species based solely on visual cues. …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 12, Issue 1, 2025 · pp. 17–27 Read article
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Remote Monitoring of Water Level in a Well
Abstract: AbstractWater level measurement in a well is an important parameter because it helps to find and analyze well production issues before they cause serious problems such as water outages and pumb damages. The low demand and high demand periods can be monitored and maintained on seasonal basis to form the state drinking rules. Based on this requirement, this paper is formulated to remote monitoring of water level in wells. The …
Published in Journal of Telecommunication, Switching Systems and Networks · Vol. 5, Issue 2, 2018 · pp. 30–38 Read article
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Host-Microbiota Crosstalk in the Rumen: Signaling Pathways for Nutrient Metabolism and Disease Resilience in Dairy Cows
Abstract: The rumen serves as a highly intricate microbial ecosystem, fundamentally responsible for the degradation of fibrous plant materials in ruminant. The intricate host-microbiota crosstalk within the rumen significantly influences nutrient metabolism, growth, and health outcomes in livestock. The interaction between the host and its microbial community, mediated through signaling pathways including the production of short-chain fatty acids (SCFAs), bile acids, and various metabolites, is crucial for enhancing nutrient absorption, fermentation …
Published in Research and Reviews: A Journal of Microbiology and Virology · Vol. 15, Issue 1, 2025 · pp. 29–41 Read article
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Deep Learning for Earth Observation Using Satellite Imagery: A Comprehensive Review
Abstract: Earth observation (EO) satellites provide continuous, large-scale information about the Earth's land, oceans, atmosphere, vegetation, infrastructure, and environmental conditions. The rapid growth of multispectral, hyperspectral, synthetic aperture radar (SAR), thermal, and high- resolution satellite missions has generated large volumes of heterogeneous spatial and temporal data. Conventional image-processing and machine-learning techniques often require manually designed features and may have difficulty representing the complex spatial, spectral, temporal, and multimodal characteristics of satellite …
Published in Research & Reviews : Journal of Space Science & Technology · Vol. 15, Issue 2, 2026 Read article
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21st Century Cognitive Landscapes: Integrating ICT-Driven Pedagogies for Holistic, Inclusive Education
Abstract: The rapid advancement of Information and Communication Technology (ICT) has revolutionized digital pedagogies, reshaping modern education by improving accessibility, learner engagement, and academic outcomes. This review critically explores the psychological ramifications of digital learning environments while assessing the effectiveness of ICT tools in fostering inclusive and sustainable education. By integrating insights from contemporary research, this paper examines the impact of digital pedagogies on cognitive function, emotional health, and social interactions …
Published in International Journal of Education Sciences · Vol. 2, Issue 2, 2025 · pp. 75–81 Read article
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Experimental Investigation on the Strength of Concrete with Partial Replacement of Cement using GGBS and Alccofine
Abstract: Cement is the most important ingredient of concrete. A large scale production of cement consumes large amount of energy and produce a large amount of carbon dioxide (CO2) gas which harmful to human as well as environmental and natural resources. So, to avoid the effect to use industrial waste productions as a supplementary cementitious material (SCM) in making concrete i.e. silica fumes, rice husk ash, fly ash, metakaolin, alccofine, ground …
Published in Journal of Construction Engineering, Technology & Management · Vol. 13, Issue 1, 2023 · pp. 35–43 Read article
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Wireless Annunciator Window for Substation Application with GSM Facility
Abstract: The work aim is to understand and design of wireless communication between annunciator window and circuit breaker, relay, transformers etc. located in switchyard of power substation. The wireless communication methods are more reliable, convenient, economical, and faster as compared to the actual wire communication system. In this paper, we have used a GSM system for sending wireless signal to the annunciator window. GSM system supports to transfer the information over …
Published in Journal of Power Electronics and Power Systems · Vol. 7, Issue 1, 2017 · pp. 22–27 Read article
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Monitoring and Modeling of Atmospheric Change Indices In Parts of Imo State Using GIS, MATLAB and ANN
Abstract: Geographic Information System (GIS) and Matrix Laboratory (MATLAB) Models were used to study air quality in parts of Imo State. Primary data were obtained by conducting relevant analysis using standard instrumental methods on open-air rainwater samples collected in the dry and the rainy seasons for two consecutive years. GIS showed that the pollutants were present throughout the year. Artificial Neural Network (ANN) of MATLAB 2015 was used to represent data …
Published in Journal of Modern Chemistry & Chemical Technology · Vol. 15, Issue 1, 2024 · pp. 25–74 Read article
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Water Quality Monitoring System
Abstract: Water contamination is a serious issue that endangers both human health and the environment. Monitoring water quality in real time is crucial to ensuring that people have access to clean and safe drinking water. This project uses Internet of Things (IoT) technologies to provide a low-cost, straightforward water quality monitoring device. The system measures the temperature, pH, turbidity (cloudiness), and water flow using a variety of sensors. These tests aid …
Published in International Journal of Electrical Machine Analysis and Design · Vol. 3, Issue 1, 2025 · pp. 37–44 Read article
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Review Paper on Static and Dynamic Power Dissipation of Novel CMOS SRAM Cell
Abstract: VLSI design is persistently demanding for ultra-low power efficient and data stability solution. This review paper studies and analyses about various techniques to reduce leakage and dynamic power dissipation. Sleepy keeper approach, super cutoff mode, NTC method, dual-threshold approach, quiet-bitline and single bitline architecture are discussed for the power reduction. Sleepy keeper, NTC and dual-threshold approach are focused for high data stability and performance. Quite bitline architecture SRAM saves overall …
Published in Journal of VLSI Design Tools and Technology · Vol. 6, Issue 1, 2016 · pp. 73–77 Read article
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Artificial Intelligence for Sustainable Agriculture, Forestry and Rural Development: Recent Advances, Applications and Research Opportunities
Abstract: Artificial Intelligence (AI) has emerged as a transformative technology with the potential to revolutionize agriculture, forestry, and rural development by enabling data-driven decision-making, resource optimization, and sustainable management practices. Rapid developments in computer vision (CV), machine learning (ML), deep learning (DL), natural language processing (NLP), and predictive analytics have increased the use of AI in a variety of rural industries. In agriculture, AI-driven technologies support precision farming, crop yield prediction, …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 13, Issue 3, 2025 Read article
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Performance Evaluation of Adaptive MIMO-OFDM System Model for Wireless Networks
Abstract: Enormous growth of wireless technologies and research trends in networking has developed many useful applications. Wireless networks with various protocols and standards are huge in demand because of the expansion of internet of things (IoT). All wireless networks demand for high data rate, low energy consumption, higher throughput, more reliability, better quality of services (QoS) and quality of information (QoI). This paper presents multiple in multiple out (MIMO) orthogonal frequency …
Published in Journal of Telecommunication, Switching Systems and Networks · Vol. 4, Issue 1, 2017 · pp. 17–23 Read article
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High Doses Biotin beyond Its Nutraceutical Prescription: Update Indications for Neurological Diseases
Abstract: Biotin or vitamin H is ubiquitous B-complex vitamin that plays as a co-factor in different metabolic process in the body. The usual recommended daily requirement is 30µg. Recent studies found biotin in high doses involved in the synthesis of myelin in patients with multiple sclerosis. The Med Day Pharmaceuticals launched an oral formulation of biotin high dose (Cerenday 100 mg capsule) and recommended for multiple sclerosis. Previous studies demonstrated the …
Published in Research and Reviews: A Journal of Medicine · Vol. 7, Issue 2, 2017 · pp. 13–20 Read article
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Support Vector Machine Inspired Load Forecasting of a State University in Haryana
Abstract: Estimating the possible environmental impact and determining probable capital requirements are made easier with a solid grasp of electricity demand. Beginning in the middle of the 20th century, demand forecasting for electric power networks was studied theoretically. Prior to that, the study of demand forecasting had not developed because of the small scale of power networks. With the use of statistical prediction techniques, plans for the electric power industry have …
Published in Trends in Electrical Engineering · Vol. 15, Issue 2, 2025 · pp. 33–40 Read article
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Strategic Integration of Machine Learning in Polymer Composite Development: A Framework for R&D Portfolio Management and Technological Adoption
Abstract: The progress of advanced polymer composites is slow, costly and unpredictable due to traditional methods of trial-and-error research. As materials informatics and data-driven modeling speed up the process of discovering technology, there exists a huge disconnect between computational predictions on one hand and strategic decision-making on the other in research and development (R&D). To solve this issue, this paper presents the Agile Materials-Intelligence (AMI) Framework, a systematic combined methodology that …
Published in Journal of Polymer & Composites · Vol. 14, Issue 1, 2026 · pp. 1272–2286 Read article
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Transformative Breakthroughs: Revolutionizing Potato Disease Detection Through Machine Learning
Abstract: Advancements in agricultural technology and the integration of artificial intelligence for diagnosing plant and leaf diseases are crucial for sustainable agricultural development. Conditions like early blight and late blight exert a notable influence on both the quality and quantity of potato harvests. Identifying these leaf diseases manually demands significant labor and a considerable level of expertise. Therefore, efficient, and automated methods for disease detection are essential to improve potato production. …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 11, Issue 1, 2024 · pp. 54–62 Read article
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Gob to pursue heat to mould – a study
Abstract: This article is the study of gob at hot state between molten glass pool and mould machine. The empirical description has modification from trial and error prosecution to suggest automated produce equipment. Feedback sensing loop from plunger feed at mould has data conversion ethic to shaped mass regulator equipment. Modification in the trajectory of flow line production has improved quality produce at minimized wear. Difference in composition-wise viscosity and heat …
Published in Journal of Thermal Engineering and Applications · Vol. 8, Issue 1, 2021 · pp. 47–53 Read article
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Experimental investigation on non-linearity in understanding large scale fires
Abstract: Fire doesn't spread in a uniform manner it has an unpredictable nature. The pervasive uncertainty associated with large-scale fires has resulted in the irreparable loss of invaluable human lives, natural resources, critical infrastructure, and systems. To combat this significant issue, substantial financial investments are made annually in research endeavours aimed at preventing and mitigating such devastating incidents. These dedicated research efforts strive to develop innovative strategies, cutting-edge technologies, and robust …
Published in Journal of Industrial Safety Engineering · Vol. 10, Issue 1, 2023 · pp. 27–40 Read article
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Detecting Phishing Websites Using Hybrid Methodologies
Abstract: In the digital era, personal information theft has become a widespread and increasingly severe crime. Cybercriminals, often known as hackers, use deceptive strategies, with phishing websites being a major method for stealing confidential data. These fake websites imitate legitimate ones, tricking users into revealing sensitive personal and financial information, which has led to a rise in fraud cases. To address this escalating threat, a comprehensive research paper is proposed. This …
Published in Journal of Computer Technology & Applications · Vol. 15, Issue 3, 2024 · pp. 59–65 Read article