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670 articles for “data rate”
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Advanced Lithium-Ion Battery Prognostics: A Comprehensive Review of Machine Learning Approaches for Remaining Useful Life Prediction
Abstract: The lithium-ion battery (LIB), as one of the main sources for portable power systems, has been increasingly popular owing to its widespread applications in electric vehicles, consumer electronics, aerospace and renewable energy. Despite their advantages in high energy density and long cycle life, LIBs suffer from degradation over time of aging and cycling, resulting in loss of performance, safety issues, and economic bottlenecks. Predicting their Remaining Useful Life (RUL) is …
Published in International Journal of Mechanical Dynamics and Systems Analysis · Vol. 3, Issue 2, 2025 · pp. 12–27 Read article
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Potential of Biodiesel Production from Algae
Abstract: It is necessary to achieve targets for biodiesel production from Algae for the climate change mitigation and economic growth. In this content biodiesel as a biofuel is produced from microalgae, offer the greatest opportunities in the society. This paper consists the current status of microalgae use for biodiesel production, effect of parameters on Biodiesel production, process of transesterification including Lipid extraction and the cultivation, harvesting and processing of algae. During …
Published in Journal of Petroleum Engineering & Technology · Vol. 11, Issue 3, 2021 · pp. 49–60 Read article
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Performance Evaluation of 5G transmission system and Simulation Modeling
Abstract: Orthogonal multiple access (OFDMA) is a very important technology for the fifth generation (5G) wireless communication networks to provide the need of the flexible demands of users on lower latency rate, high level of reliability, good amount of connectivity, large fairness, and high data throughput. The key idea behind MIMO based 5G networks are to provide multiple users in common resource block. The MIMO OFDM principle is the main framework …
Published in Journal of Telecommunication, Switching Systems and Networks · Vol. 8, Issue 1, 2021 · pp. 21–32 Read article
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A Brief Study on REM (Rapid Eye Movement)
Abstract: Human sleep is broadly classified into two groups: rapid eye movement (REM) and non-rapideye movement (NREM). According to the American Academy of Sleep Medicine (AASM) sleepscoring manual, NREM stage is further divided into N1, N2 and N3 stages with theprogression of sleep. The standard method of sleep analysis is known as polysomnography(PSG), where several physiological signals are acquired, visually analyzed by sleeptechnicians and scored into various stages. Manual analysis and …
Published in Trends in Electrical Engineering · Vol. 10, Issue 1, 2020 · pp. 1–6 Read article
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Knowledge and Attitude Regarding Substance Abuse among Adolescent Boys in Kottayam, Municipality
Abstract: Substance abuse among adolescents is a crucial health problem rising worldwide, threatening physical, mental, social, and family health which in turn affects the productivity of the nation. The present study was aimed at assessing the knowledge and attitude regarding substance abuse among adolescent boys. A descriptive design was employed in this study to assess knowledge and attitude regarding substance abuse among adolescent boys. The sample consisted of 300 adolescent boys …
Published in Journal of Nursing Science & Practice · Vol. 10, Issue 3, 2020 · pp. 51–60 Read article
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Thermal degradation analysis of banana fiber by Coats & Redfern methodThermal Degradation Analysis of Banana Fiber by Coats and Redfern Method
Abstract: Nowadays, natural fiber is more advantageous than synthetic fiber. Natural fibers are used as reinforcement material with combination of polymer matrix. These are of different types like banana fiber, bamboo fiber, sisal, hemp, and jute, etc. Banana fiber is one of them which is most common and easily available fiber in global scenario. It is biodegradable, renewable, and lower in cost. This fiber is higher in cellulosic content. Out of …
Published in Journal of Polymer & Composites · Vol. 11, Issue 2, 2023 · pp. 28–32 Read article
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Artificial Intelligence-Based Workforce Analytics Framework for Predicting Employee Engagement and Continuous Performance Improvement: Evidence from Tata Steel
Abstract: In large, diversified manufacturing organizations, managing employee engagement and sustaining performance require systematic understanding of workload distribution, employee sentiment, and workplace experience. This study examines the role of AI-enabled workforce analytics as a strategic human resource management tool through a case study of Tata Steel. The research positions artificial intelligence not as a technical innovation, but as a people-analytics decision-support mechanism that assists HR leaders in identifying early indicators of …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 13, Issue 3, 2025 Read article
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Modeling Galaxy Formation in a Hierarchical Universe: A Fiducial Approach and Comparison with Observational Data
Abstract: We have developed a detailed model to understand how galaxies form in the framework of hierarchical theories of structure formation. Our model accounts for key processes like the formation and merging of dark matter halos, the heating and cooling of gas inside these halos, the regulation of star formation driven by energy from evolving stars and supernovae, galaxy mergers, and the changes in star populations over time. This approach is …
Published in International Journal of Universe · Vol. 1, Issue 1, 2025 · pp. 30–36 Read article
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Enhancement in Biomedical Polymer Nanocomposites: Biocompatibility and Mechanical Property Predictions using Machine Learning
Abstract: A machine learning (ML)-based framework is developed and validated through experimental analysis and comparative modeling to enhance system dependability and improve prediction performance. The proposed framework includes key stages such as data preprocessing, feature evaluation, model training, and performance benchmarking to determine the most effective prediction technique. Several machine learning models were evaluated, including Ensemble models, Artificial Neural Networks (ANN), Decision Tree (DT), Random Forest (RF), Support Vector Machine (SVM), …
Published in Journal of Polymer & Composites · Vol. 14, Issue 3, 2026 · pp. 275–296 Read article
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Development of Web-enabled Smart Hospital Management System: Patient Data Visualization and Real-time Decision Making
Abstract: As everyone is aware, fewer people had access to healthcare services, which prevented many people from receiving the care they needed. The idea that, by WHO criteria, there should be one physician for every 1,000 patients is nearly unbelievable. Yet, India’s current ratio is a staggering 1:1445. This disparity highlights a serious gap in healthcare resources that cannot be ignored. Authors remember speaking with a friend who works in a …
Published in Journal of Instrumentation Technology & Innovations · Vol. 14, Issue 3, 2024 · pp. 41–46 Read article
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Assessing the Effectiveness of Industrial Energy Audits: A Literature Review
Abstract: Indian economy plans to conserve the energy which is consumed by the industrial sector. Government of India has made it mandatory to conduct periodic energy audits in the industrial sector which is to be followed up with a practical implementation of energy conservation (ECON) measures as suggested by the energy audit team. Energy audit has been conducted in two phases namely, pre-audit and post audit phase. During pre-audit phase, initially, …
Published in Journal of Alternate Energy Sources & Technologies · Vol. 15, Issue 1, 2024 · pp. 1–7 Read article
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Exploiting Phase of Speech Signal for Speaker Recognition
Abstract: Abstract—Performance of speaker recognition system with feature based on temporal phase is presented in this paper. In the state of the art spectral feature, Mel Frequency Cepstal Coefficient (MFCC) only magnitude of the Fourier Transform of speech signal is considered while phase is ignored. The cepstral coefficients extracted from temporal phase (MFTPC) of speech signal are used as features for speaker recognition system. The performance of MFTPC feature is evaluated …
Published in Journal of Communication Engineering & Systems · Vol. 9, Issue 2, 2019 · pp. 81–87 Read article
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Assessment of Adherence to Antiretroviral Therapy Among Art Users in Jimma University Specialized Hospital, Jimma Zone, Oromia Region, South West Ethiopia
Abstract: Background: HIV-associated morbidity and mortality gets substantially reduced with antiretroviral therapy (ART). Antiretroviral treatment efficacy exhibits significant inhibition of viral replication as well as viral load resulting in significant decrease in viral particles to a level where it becomes undetectable in the blood of HIV infected individuals. But, antiretroviral therapy (ART) requires high-level (>95%) adherence and adherence to antiretroviral therapy has been correlated strongly with HIV viral suppression, reduced rates …
Published in Research and Reviews : A Journal of Immunology · Vol. 8, Issue 1, 2018 · pp. 14–21 Read article
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Hybrid Techniques in Mango Leaf Disease Identification: Evaluating Neural Networks and Support Vector Machines
Abstract: Mango leaf diseases pose a significant threat to mango production, impacting both yield and fruit quality. Early and accurate detection of these diseases is crucial for effective management. This paper evaluates the use of hybrid techniques, specifically the integration of neural networks (NNs) and support vector machines (SVM), in the identification and classification of mango leaf diseases. NN excel in extracting complex features from images, while SVMs are robust classifiers, …
Published in Trends in Opto-electro & Optical Communication · Vol. 14, Issue 3, 2024 · pp. 19–27 Read article
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Li-Fi based Underwater Audio and Data Transmission System
Abstract: Visible Light Communication, or Li-Fi (Light Fidelity), is a wireless optical networking technique used for communication (VLC). Due to its lack of RF communication's drawbacks, such as water absorption and scattering, Li-Fi has the potential to completely transform underwater communication. This project suggests utilizing two Arduinos, a solar panel, a speaker, a display, an amplifier, a laser, a battery, and other components to create a Li-Fi based underwater audio and …
Published in Recent Trends in Fluid Mechanics · Vol. 11, Issue 2, 2024 · pp. 23–29 Read article
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Advances in Total Knee Replacement: A Systematic Review of Clinical Outcomes and Complications
Abstract: Total Knee Replacement (TKR) is a widely used surgical intervention for patients with knee osteoarthritis and other degenerative knee disorders, offering significant improvements in pain relief, functional restoration, and quality of life. This systematic review synthesizes data from multiple clinical studies to evaluate the outcomes and complications associated with TKR. To find applicable research published in the last ten years, a thorough search of electronic databases was performed. Randomised controlled …
Published in Research and Reviews : A Journal of Medical Science and Technology · Vol. 14, Issue 1, 2024 · pp. 41–56 Read article
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Developmental Responses to Structured Training Loads in Competitive Youth Judo
Abstract: This study investigates the influence of a planned and regulated training-load structure on the physical and technical growth of elite youth Judoka aged 10 to 16. A four-week training program progressively modified the key variables of training intensity, frequency, and volume to support performance development while avoiding over-fatigue and injury. Ten athletes participated with performance assessed before and after training using tests for Muscular endurance, Core stability, Lower body explosive …
Published in Recent Trends in Sports · Vol. 3, Issue 1, 2026 · pp. 07–15 Read article
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ML Analysis of Factors Affecting Vaccination in Rural Children: A Machine Learning Approach
Abstract: Vaccination remains one of the most effective public health interventions for preventing childhood diseases, yet rural regions in India continue to experience uneven immunization coverage due to multiple socioeconomic and geographic barriers. This research applies machine learning techniques to identify and analyze the major determinants influencing childhood vaccination uptake in rural communities. The study utilizes survey-based demographic, socioeconomic, and healthcare-related parameters to build predictive models that classify children as vaccinated …
Published in International Journal of Vaccines · Vol. 3, Issue 2, 2026 Read article
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Solid Waste Management System in Pabna Municipality of Bangladesh: A Case Study
Abstract: The increasing quantity of solid waste is a growing environmental problem in many developing countries like Bangladesh. Solid waste is indiscriminately dumped on roadsides, near dustbins and into open drains thus leading to serious health risk and degradation of living environment for people of most cities like Pabna. This paper presents the existing solid waste management system of Pabna municipality. Primary data were collected from householders and waste workers through …
Published in Recent Trends in Civil Engineering & Technology · Vol. 10, Issue 1, 2020 · pp. 18–24 Read article
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Exploring the Development of AI Models Using Open-Source Tools to Predict Patient Outcomes and Optimize Treatment Plans
Abstract: Integrating artificial intelligence (AI) into healthcare offers a transformative opportunity to enhance patient care and clinical decision-making. Through the use of predictive analytics, AI can significantly enhance the accuracy of outcome predictions and assist in developing personalized treatment plans that cater to each patient’s specific needs. This paper delves into the development of AI models using open-source tools, which are increasingly favored for their accessibility, collaborative nature, and capacity for …
Published in Journal of Open Source Developments · Vol. 11, Issue 3, 2024 · pp. 37–49 Read article