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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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Transformative Impact of Artificial Intelligence on Telecommunications: Network Optimization, Predictive Maintenance, and Personalized User Experience
Abstract: This paper explores the transformative impact of Artificial Intelligence (AI) in telecommunications, focusing on network performance optimization, predictive maintenance, personalized user experiences, and ethical and regulatory challenges. AI technologies enhance communication networks by optimizing resource allocation, reducing latency, and increasing throughput through real-time adjustments and predictive analytics. Predictive maintenance, enabled by AI, helps prevent failures, reduce downtime, and lower maintenance costs by anticipating issues. The study also delves into AI's …
Published in Journal of Telecommunication, Switching Systems and Networks · Vol. 12, Issue 1, 2025 · pp. 27–36 Read article
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Future Prospects of AI in Pharmaceutical Industry and its Limitation
Abstract: The pharmaceutical industry is facing significant challenges, including prolonged drug development timelines, high costs, and low success rates in clinical trials. Traditional methods often result in inefficiencies, with new drug development taking over a decade and billions of dollars, yet most candidates fail in clinical trials due to issues like inefficacy or safety concerns. Artificial Intelligence (AI) has become a groundbreaking technology with the potential to tackle these issues effectively. …
Published in Research and Reviews: A Journal of Pharmacology · Vol. 15, Issue 2, 2025 · pp. 6–13 Read article
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Optimizing Sentiment Analysis with Naïve Bayes and Random Forest Techniques: A Result-based Approach
Abstract: In the increased digitalization, the sentiment analysis and classification have evolved as an eminent area to determine the polarity of positive, negative, and neutral reviews of the customers and users on products. It is an integral application field that employs supervised learning, Machine Learning, and Natural Language Processing concepts. The proposed Semantic Analysis and Classification using Naive Bayes and Random Forest system accomplishes the sentiment polarity by classifying the user …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 12, Issue 2, 2025 · pp. 46–57 Read article
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Fertile Data: Advanced Strategies for Crop Optimization Through Machine Learning Processing
Abstract: The venture, titled "FertileData: Advanced Strategies for Crop Optimization Through Machine Learning processing" is created utilizing HTML, CSS, and JavaScript for the front conclusion, and Python for the back conclusion. In a nation like India, where a noteworthy parcel of the populace depends on agribusiness for their vocation, joining progressed advances such as Machine Learning and Profound Learning into cultivating hones can revolutionize the industry. This venture presents a user-friendly …
Published in Research and Reviews : Journal of Crop science and Technology · Vol. 14, Issue 2, 2025 · pp. 25–35 Read article
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Investigating The Alkalizing Potential of Chandanasava For Restoring Acid-Base Homeostasis in Renal Tubular Acidosis: A Computational and In Silico Pharmacological Study
Abstract: Chandanasava, a traditional Ayurvedic formulation, is recognized for its potential alkalizing properties, which may help restore acid-base homeostasis in conditions such as renal tubular acidosis (RTA). This study aims to investigate the active components of Chandanasava and their interactions with key renal target proteins, Pendrin and Carbonic Anhydrase II, which are essential for maintaining acid-base balance. An in silico approach was utilized to explore the pharmacological potential of the phytochemicals …
Published in International Journal of Bioinformatics and Computational Biology · Vol. 3, Issue 2, 2025 · pp. 28–52 Read article
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Sustainability of Asphalt Pavement in Terms of CraSustainability of Asphalt Pavement in Terms of Crack Healing Phenomena: A Reviewck Healing Phenomena: A Review
Abstract: The Asphalt concrete mixture is considered to have nonlinear viscoelastic behavior, its fatigue life consists of two components, namely the resistance to fracture and crack, and the ability to heal the micro cracks. Both of the processes change with temperature and time. Such processes exhibit the sustainability potential of asphalt concrete pavement. The approach to study this potential requires mechanical tests like creep or relaxation, strength and repeated load tests. …
Published in Trends in Transport Engineering and Applications · Vol. 3, Issue 2, 2016 · pp. 38–55 Read article
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Consistent Tracking of Goods Throughout the Transportation Chain Based on Internet of Things and Wireless Sensor Network
Abstract: Consistent tracking of goods throughout the transportation process is a critical task for cargo-owners, transportation companies and the receiver customers who would get their desired belongings. In this paper, we have proposed a Wireless Sensor Network and cloud server based goods consistent tracking system throughout the transportation chain. Our purposed system does not only monitor the status of the transport vehicle by Waspmote mounted on it, but it has smart …
Published in Journal of Communication Engineering & Systems · Vol. 7, Issue 3, 2017 · pp. 36–44 Read article
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Beejdushti: A Conceptual Study
Abstract: The appreciation of genetic factors as arbiters of human disease is a relatively recent development in medical history. Scattered references to inheritance of biological characteristics may be found in the records of several millennia. In which comes the Ayurvedic texts. In Ayurvedic texts the genetic concept of inheritance is beautifully described in Caraka Sharir Sthan. Although Other Authors also described in direct or indirect way the genetic basis of inheritance …
Published in Journal of AYUSH: Ayurveda, Yoga, Unani, Siddha and Homeopathy · Vol. 4, Issue 2, 2015 · pp. 48–53 Read article
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Machine Learning Approach to Detect and Analyze Attention-Deficit/Hyperactivity Disorder
Abstract: Attention-Deficit/Hyperactivity Disorder (ADHD) is a neurodevelopmental disorder characterized by difficulties with attention, impulse control, behavioral regulation, and daily functioning that persist across childhood and adulthood. Clinical diagnosis is predominantly based on behavioral assessments and expert interpretation, which may result in subjectivity and delayed clinical decisions. To reduce reliance on subjective evaluation, this study introduces an automated ADHD identification framework that integrates resting-state functional Magnetic Resonance Imaging (rs-fMRI) with advanced machine …
Published in Research and Reviews: A Journal of Neuroscience · Vol. 16, Issue 2, 2026 · pp. 22–26 Read article
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Machine Learning-Assisted Design and Optimization of Lightweight Polymer Composites for IoT-Enabled Automotive Applications
Abstract: This study aims to develop an integrated machine learning and optimization framework for the intelligent design of lightweight polymer composites suited for IoT-enabled automotive applications. The goal is to enhance material performance while satisfying multiple design constraints such as mechanical strength, thermal stability, and process compatibility. A curated dataset of polymer composite formulations was used to train a Random Forest Regression (RFR) model capable of predicting tensile strength, thermal conductivity, …
Published in Journal of Polymer & Composites · Vol. 13, Issue 5, 2025 · pp. 12–27 Read article
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House Price Prediction Using Linear Regression In Machine Learning
Abstract: In the modern world, real estate is among the most important investments, particularly in a city like Chennai, which is where many people aspire to work and settle down. Due to people's high purchasing power, this will cause property prices to rise daily. When purchasing a home, buyers will consider whether or not it will yield a healthy profit margin. Hence, before spending your hard-earned money on any property, it …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 11, Issue 2, 2024 · pp. 92–100 Read article
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Predictive Analytics for Student Well-Being and Occupational Success
Abstract: The integration of predictive analytics into higher education has significantly transformed institutional decision-making processes. However, prevailing implementations remain predominantly performance-centered, focusing on dropout prediction and grade forecasting rather than holistic developmental outcomes. Concurrently, higher education systems worldwide are confronting escalating concerns regarding student mental health, disengagement, career uncertainty, and labor market volatility. These intersecting challenges necessitate a broader theoretical reconceptualization of predictive analytics—one that integrates psychological well-being and long-term occupational …
Published in International Journal of Education Sciences · Vol. 3, Issue 1, 2026 · pp. 155–163 Read article
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Siddha System of Medicine – A Boon to Outlive Depression
Abstract: Siddha, ultimately is a way of living that teaches and aids a soul in reaching its goal. This system of Science has strong foundations based on the four pillars; Vaatham, Vaithyam, Yogam and Gnanam laid down by Siddhars. Siddha Vaithyam deals with diagnosis, prevention and treatment of all diseases. The Siddha system of medicine has proved its significance in treating deadly diseases of present day such as HIV, Hepatitis – …
Published in Journal of AYUSH: Ayurveda, Yoga, Unani, Siddha and Homeopathy · Vol. 9, Issue 1, 2020 Read article
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An Analysis of Machine Learning Models for Early Cardiac Risk Stratification
Abstract: The paper shows an in-depth study of machine learning and artificial intelligence solutions to early cardiac risk stratification which has a crucial necessity because cardiovascular disease (CVD) prediction remains a significant issue that needs to be improved beyond the conventional risk score. Since CVD is the most serious disease killer in the world, claiming 17.9 million deaths every year, there is a strong need to get the most sophisticated predictive …
Published in Research & Reviews: A Journal of Bioinformatics · Vol. 13, Issue 2, 2026 Read article
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Decomposing of Natural Resources: Empirical Study on Its Impact on Sustainable Economic Development in Nigeria
Abstract: The study examined the impact of natural resources on economic development in Nigeria. Secondary data was used which was sourced from the central bank of Nigeria and other relevant publications. Data were analyzed using some Statistical tools; Descriptive analysis, trend analysis, unit root test co-integration test, long and short-run analysis, and post-estimation test. The result of the long-run analysis revealed that gas has a positive significant impact on per capita …
Published in Journal of Energy, Environment & Carbon Credits · Vol. 12, Issue 2, 2022 · pp. 35–44 Read article
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Analysis of Multistoried RCC Building with Dampers as Energy Dissipation System using ETABS
Abstract: In order to have earthquake resistant structures, fluid viscous dampers have been used.In present study G+7 Story buildings is compared with the seismic effect of structure with dampers and without dampers. In the present study the software ETABS 2017 have been used. Using response spectrum analyses the response of the RC building considered in the present study is evaluated and compared with and without FVD. This study investigates the influence …
Published in Recent Trends in Civil Engineering & Technology · Vol. 10, Issue 2, 2020 · pp. 1–5 Read article
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To Evaluate the Performance of the Selected Hybrid Systems and Validation of Mathematical Model with the Experimental Data
Abstract: The main aim of this paper to evaluate the performance of the PV-Wind hybrid systems and validation of mathematical model with the experimental model. In the research paper, the experimental model of PV-Wind Hybrid system has been installed at a height of 22 meters in the School of Energy and Environmental studies, DAVV, Indore, and M.P., India. The theoretical calculation of the wind generator output has also been compared with …
Published in Journal of Alternate Energy Sources & Technologies · Vol. 16, Issue 2, 2025 · pp. 20–28 Read article
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Graphs and Their Real-Life Applications in Pharmaceutical Research
Abstract: This study provides a comprehensive overview of the role of graphs in pharmacy research, emphasizing their significance as powerful tools for data visualization, interpretation, and communication. In the field of pharmacy, research often generates large volumes of complex data related to drug development, pharmacokinetics, pharmacodynamics, medication safety, and patient outcomes. Graphs serve as an essential medium to translate these data into accessible, interpretable, and actionable insights, supporting evidence-based practice and …
Published in Research & Reviews : Journal of Statistics · Vol. 14, Issue 3, 2025 · pp. 01–08 Read article
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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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An Experimental Study to Assess the Effectiveness of Self Efficacy on Academic Performance Among B.Sc. Nursing Students at Selected Colleges, Mangalore
Abstract: Self-efficacy refers to an individual's belief in their capacity to execute behaviors necessary to produce specific performance attainments. This study was conducted to evaluate the impact of self-efficacy on the academic performance of first-year B.Sc.Nursing students in selected colleges in Mangalore. The primary objective was to assess the relationship between self-efficacy levels and academic outcomes among these students. A quantitative research design was adopted for this study, with a sample …
Published in International Journal of Community Health Nursing And Practices · Vol. 3, Issue 2, 2025 · pp. 65–83 Read article