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181 articles for “pattern investigation”
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Natural Language Processing in Everyday Applications: From Classrooms to Clinics
Abstract: Natural Language Processing (NLP) is transforming everyday sectors like healthcare and education by creating new opportunities for efficiency, accessibility, and early intervention. This paper investigates the function of natural language processing (NLP) in computer education. Tools like automated grading systems, intelligent tutoring assistants, and multilingual translation platforms are revolutionizing traditional teaching methods. Despite its benefits, adoption is still being slowed down by problems like data privacy, integration with education, and …
Published in Research and Reviews: A Journal of Health Professions · Vol. 15, Issue 3, 2025 Read article
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Empowering the Future: The Role of Environmental Education in Contending Climate Change and Encouraging Carbon Neutrality in India
Abstract: A major challenge to human advancement, climate change, necessitates political consensus and international cooperation to overcome its wide-ranging effects. One of the most important strategies for overcoming this obstacle, raising awareness, and promoting the shift to sustainable socioeconomic systems is environmental education. This study examines how well a climate change awareness that focuses on the connections between waste production, consumption patterns, and climate change works for students in India's education …
Published in Journal of Alternate Energy Sources & Technologies · Vol. 16, Issue 1, 2025 · pp. 37–45 Read article
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Role of Generative AI in Redefining Data Analytics
Abstract: The rapid evolution of data-driven technologies has introduced both significant challenges and promising opportunities within the field of data analytics. Among the most impactful advancements is Generative Artificial Intelligence (Generative AI), a groundbreaking subset of AI that is reshaping how data is interpreted, generated, and utilized. Unlike traditional analytical tools that rely solely on existing data patterns, generative AI possesses the capability to create synthetic data, simulate complex scenarios, and …
Published in International Journal of Algorithms Design and Analysis Review · Vol. 3, Issue 2, 2025 · pp. 01–07 Read article
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AI-Based Intelligent Traffic Signal Management System: A Review
Abstract: Traffic congestion is a growing problem in urban areas worldwide, leading to economic losses, increased pollution, and commuter frustration. Traditional traffic management systems rely on fixed timing cycles and lack adaptability to real-time traffic conditions. Intelligent traffic light control systems based on artificial intelligence (AI) have become a viable substitute for traditional techniques. These systems are able to evaluate large volumes of traffic data in real time, identify patterns, and …
Published in International Journal of Electronics Automation · Vol. 3, Issue 2, 2025 · pp. 1–5 Read article
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Divorced Women Attitudes Towards Remarriage: A Qualitative Approach
Abstract: The current study aimed to investigate the attitudes of divorced women regarding remarriage and to comprehend the diverse factors that shape their viewpoints. The research population comprised divorced women, and a purposive sampling method was employed to select participants. Data were collected from ten divorced women through semi-structured interviews, allowing for in-depth exploration of personal experiences and viewpoints. A qualitative research design was adopted to capture the complexity of individual …
Published in International Journal of Behavioral Sciences · Vol. 3, Issue 1, 2026 · pp. 1–14 Read article
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Spatiotemporal Analysis of Mean-Field Coupled Lorenz Oscillators for Applications in Electronic Network Design and Chaotic Synchronization
Abstract: This study investigates the spatiotemporal behavior of a network of 100 coupled Lorenz oscillators interacting through mean-field coupling with coupling strength κ = 0.1 and explores its relevance to electronic system design and nonlinear network architectures. While each oscillator follows classical Lorenz dynamics, the coupling mechanism enables collective behavior that resembles synchronization phenomena observed in distributed electronic and communication systems. Numerical simulations reveal rich dynamical characteristics including partial synchronization, emergent …
Published in Journal of Electronic Design Technology · Vol. 17, Issue 2, 2026 · pp. 1–9 Read article
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A Circular Slot Loaded H-Shaped Printed Microstrip Patch Antenna for Lower Band 5G Applications
Abstract: Abstract: A circular slot loaded H-Shape patch antenna is introduced in this paper. A circular slot loaded H-Shape patch antenna is fed with coplanar wave guide (CPW) is discussed which is applicable for lower band 5G applications. The radiation pattern is omni-directional which is very near to H-plane. The area of ground plane is 80×101×1.5 mm3 with substrate material having dielectric constant 2.2 and loss tangent 0.002 is used. The …
Published in Journal of Telecommunication, Switching Systems and Networks · Vol. 6, Issue 1, 2019 · pp. 9–14 Read article
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Determination of Effect of Temperature on Bacteria and Fungi (Salt and Fresh Water)
Abstract: This study investigates the effect of temperature on bacterial and fungal activity in fresh and saltwater environments contaminated with crude oil. Utilizing standard characterization techniques, pure cultures of bacteria and fungi were isolated and identified. A bioreactor setup was employed to assess microbial growth and heat generation at varying temperatures (15°C to 120°C) over a 6-hour period. The results demonstrated that temperature significantly influences microbial activity, with bacterial growth rates …
Published in Journal of Petroleum Engineering & Technology · Vol. 15, Issue 1, 2025 · pp. 01–08 Read article
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Theoretical Study of Z = 122 Nuclei
Abstract: We used atomic nuclei with proton number Z = 122 to calculate bulk properties within the relativistic mean field (RMF) theory. We utilized the force parameters recognized as NL3 in our calculations. We extend our calculation to isotopic series of Z = 122 and analyses the theoretical outcomes. A whole isotopic chain of nuclei with atomic number 𝑍 = 122 Z=122 is included in our inquiry, enabling a methodical examination …
Published in Journal of Nuclear Engineering & Technology · Vol. 16, Issue 1, 2026 · pp. 1–9 Read article
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Overview of Atomic Structure of Metals in Group 1 Elements
Abstract: This study discussed the basic atomic features of Group 1 elements—lithium, sodium, potassium, rubidium, cesium, and francium—by concentrating on their electronic configurations, atomic radii, and ionization energies. The article gives a thorough investigation of how these variables contribute to the chemical and physical characteristics of alkali metals. The data demonstrated that when the atomic number increases, the atomic radius likewise increases, whereas the ionization energy drops. These developments are ascribed …
Published in Journal of Materials & Metallurgical Engineering · Vol. 14, Issue 3, 2024 · pp. 6–13 Read article
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Nanotechnology-Enhanced Wearable Biosensors for Liver Disease Detection: Integration with AI for Predictive Analytics
Abstract: The worldwide health burden of liver diseases is substantial, and effective treatment and management depend heavily on early detection. This study investigates the integration of nanotechnology-enhanced wearable biosensors with artificial intelligence (AI) techniques for predictive analytics in liver disease detection. The construction of extremely selective and sensitive biosensors that can identify a variety of biomarkers linked to liver illnesses has been made possible via nanotechnology. These nanotechnology-based biosensors can be …
Published in Journal of Nanoscience, NanoEngineering & Applications · Vol. 14, Issue 1, 2024 · pp. 22–36 Read article
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Different Confinement Pattern and Behavior of Short Concrete Column
Abstract: In recent years, as the economy of country grows, vast construction is done in our country. Among which majority of people have consulted with skilled persons, and there are some who constructed without involvement of professionals. In such scenario professionals to the best of their knowledge followed the techniques as mentioned in IS code for a column. But in those cases where professionals are not consulted and unskilled person construct …
Published in Journal of Structural Engineering and Management · Vol. 3, Issue 2, 2016 · pp. 51–55 Read article
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An Overview on AI-Driven IoT Based Decision Making in Climate change Study: KSK approach in Climate Change Study
Abstract: As the Earth’s climate enters a state of unprecedented volatility, the traditional methods of ecological observation—characterized by delayed reporting and fragmented data—are no longer sufficient. This study investigates the paradigm shift toward AI-driven IoT (KSK Approach)-based decision-making frameworks as the primary frontier in climate science. By deploying a "planetary nervous system" of interconnected sensors—measuring everything from soil moisture in the Sahel to glacial melt rates in the Arctic—we generate a …
Published in International Journal of Climate Conditions · Vol. 3, Issue 1, 2026 · pp. 1–10 Read article
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Trend Assessment in Upper Betwa Basin of Central India
Abstract: The temporal and spatial variability of rainfall is a critical element of semi-arid atmospheres due to its severe impact water availability, livelihood and environment. The present investigation of rainfall is to examine precipitation over a long-period of time for wide region, identifying potential trends and evaluating their significance. The Betwa basin is aftermost environmental change related occasions and its possible effect on biological community, vocation, horticulture, domesticated animals and biodiversity. …
Published in Journal of Water Resource Engineering and Management · Vol. 6, Issue 2, 2019 · pp. 36–46 Read article
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An Optimize Formulation to Synthesis of size Controlled Hydrophobic Starch Acetate Nanoparticles using Box- Behnken Design
Abstract: The best way to improve the overall performance of native starch is by chemical modification. In recent years, hydrophobically modified starch has attracted considerable attention for the design and manufacture of novel nanoparticulate drug delivery carriers. The purpose of this research was to synthesize hydrophobic starch nanoparticles (NPs) and to optimize process factors through the use of response surface methodology (RSM). The corn starch acetate (CSA) NPs was synthesized using …
Published in Journal of Polymer & Composites Read article
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An Optimize Formulation to Synthesis of size Controlled Hydrophobic Starch Acetate Nanoparticles using Box-Behnken Design
Abstract: The best way to improve the overall performance of native starch is by chemical modification. In recent years, hydrophobically modified starch has attracted considerable attention for the design and manufacture of novel nanoparticulate drug delivery carriers. The purpose of this research was to synthesize hydrophobic starch nanoparticles (NPs) and to optimize process factors through the use of response surface methodology (RSM). The corn starch acetate (CSA) NPs was synthesized using …
Published in Journal of Polymer & Composites · Vol. 10, Issue 1, 2022 · pp. 32–54 Read article
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A Python-Based Investigation of Clinical Data and Ultrasound Images for PCOS Diagnosis
Abstract: PCOS is a common endocrine disorder that impacts women in their reproductive years characterized by irregular menstrual cycles, hyperandrogenism, and polycystic ovaries. The full diagnostic plan is mainly a combination of a pelvic ultrasound besides blood tests of specific parameters that indicate the presence of PCOS. Since PCOS is a hard-to-diagnose widespread hormonal disorder, blood tests, symptoms, and other parameters with the help of a computer can form a new …
Published in Research and Reviews : Journal of Computational Biology · Vol. 14, Issue 2, 2025 Read article
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Using Machine Learning to Guess Photochemical Reaction Pathways
Abstract: Photochemical reactions are crucial to many activities in the fields of energy conversion, environmental cleanup, and synthetic chemistry. However, predicting their causes and results effectively is still very hard since they entail excited electronic states, nonadiabatic transitions, and complicated potential energy surfaces. Machine learning (ML) has been a powerful technique to go along with classic quantum chemistry methods in the last few years. It offers better prediction capability and lower …
Published in International Journal of Photochemistry and Photochemical Research · Vol. 3, Issue 2, 2025 · pp. 01–12 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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Investigation of Discarding Methods for Industrial Plastic Waste
Abstract: Plastic waste management may be a critical issue. Over 300 million metric plenty of plastics are manufacture within the world yearly and about one-half of this volume is for disposal applications, the product that is discarded within a year of their purchase. It's the boon and bane of our times. While there are multiple uses, its waste and thus the resultant pollution clogs up our rivers, oceans, lands and adversely …
Published in Research & Reviews : Journal of Ecology Read article