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670 articles for “data rate”
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Nonlinear Channel Equaliser using Discrete Gabor Transform
Abstract: ABSTRACTThe adaptive equaliser makes use of adaptive digital filters whose filter coefficients are modified depending on the channel characteristics at the front end of the receiver. The noise introduced in the channel gets nullified and hence the signal-to-noise ratio of the receiver improves. Discrete Gabor Transform (DGT) helps decorrelate input data because of which the convergence speed of the Mean Square Error (MSE) improves considerably. It is found that the …
Published in Journal of Computer Technology & Applications · Vol. 1, Issue 1-3, 2011 · pp. 63–74 Read article
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A Literature Review on Prevalence of Plantar Fasciitis in Dancers
Abstract: Background: Dance is a form of unique art and a form of physical activity. Dancers are highly susceptible to various musculoskeletal disorders due to the physical demands placed on their bodies and the repetitive nature of their movements which require interaction with medical professionals frequently. Any form of dance, be it classical ballet, contemporary, sport or folk dance, implies systematic physical activity which may lead to dance-related injuries. Professional dancers …
Published in Research and Reviews: A Journal of Health Professions · Vol. 13, Issue 1, 2023 · pp. 69–74 Read article
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The Assessment of Electric Vehicle Fire Risk Using the Failure Tree Analysis
Abstract: With the global shift toward sustainable transportation, the widespread adoption of electric vehicles (EVs) is rapidly becoming a reality, largely driven by growing environmental awareness and concerns over climate change. However, alongside this transition comes a set of emerging challenges, most notably, the increasing incidence of EV-related fire hazards, which have attracted significant public and media scrutiny. This situation highlights the urgent need for a detailed and systematic approach to …
Published in Journal of Industrial Safety Engineering · Vol. 12, Issue 2, 2025 · pp. 27–38 Read article
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Fault Diagnostic Method of Transformers based on Hybrid ANN and Expert System
Abstract: Transformers are major equipments power system which affects not only the electrical energy availability of the area supplied, but also the economical operation of utilities. The most important concern about incipient faults in power transformer is that they may reduce the electrical and mechanical stress of the insulation. This proposed hybrid system utilizes dissolved gas in oil analysis techniques to diagnose for fault condition of power transformers. The Roger’s Four …
Published in Journal of Mechatronics and Automation · Vol. 1, Issue 1, 2014 · pp. 27–32 Read article
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A Machine Learning Based Artificial Intelligence Model for Detecting Heart Illness
Abstract: This study centers around the improvement of an artificial intelligence- and computerized reasoning-based heart sickness determination framework. We exhibit how AI can help with foreseeing whether an individual will get cardiovascular infection. In this review, a Python-based application for medical care research is created since it is more reliable and helps track and lay out many kinds of well-being observing applications. We show information handling, which incorporates working with all …
Published in Journal of Computer Technology & Applications · Vol. 15, Issue 1, 2024 · pp. 50–58 Read article
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Collaborative Care for Diabetic Retinopathy: Integrating Artificial Intelligence and Clinical Pharmacy Services - A Comprehensive Review
Abstract: Background: Diabetic retinopathy (DR) remains the leading cause of blindness among working-age adults globally, affecting approximately 103 million people worldwide. The integration of artificial intelligence (AI) technologies with clinical pharmacy services presents unprecedented opportunities to enhance screening, diagnosis, and management of DR through collaborative care models. Objective: This comprehensive review examines the current landscape of collaborative care approaches for diabetic retinopathy management, focusing on the integration of AI-powered diagnostic tools …
Published in Research and Reviews: A Journal of Pharmacology · Vol. 15, Issue 3, 2025 · pp. 118–128 Read article
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Adaptive Drift Correction in Polymer-Based Wearable Biosensors via Data-Driven Signal Modeling
Abstract: Polymer-based wearable biosensors have emerged as a promising technology for continuous health monitoring due to their mechanical flexibility, biocompatibility, and suitability for long-term physiological interfacing. However, prolonged exposure to biofluids, environmental variability, and mechanical deformation introduces signal drift, which significantly degrades measurement accuracy and limits clinical reliability. This paper presents a data-driven methodology for compensating signal drift in polymer-based wearable biosensors using adaptive signal processing and machine learning techniques. The …
Published in Journal of Polymer & Composites · Vol. 14, Issue 3, 2026 · pp. 131–139 Read article
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A Review of Comparative Analysis of AODV and DSR Protocols based on QoS in Wireless Ad-Hoc Network
Abstract: AbstractIn an ad-hoc network transmission, interchange of data is done only through wireless medium. Number of ways and techniques have been used in past to estimate the quality of service (QoS) in wireless ad-hoc network protocols. Evaluating the QoS rating of wireless ad-hoc routing protocol namely, AODV and DSR forms is the main purpose of this paper which will determine the apt protocol to be used for different network scenarios. …
Published in Recent Trends in Sensor Research & Technology · Vol. 4, Issue 3, 2017 · pp. 21–24 Read article
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Role of USG Guided Percutaneous Needle Aspiration in Pyogenic Liver Abscess
Abstract: Background: Liver abscess has been a condition of high mortality and morbidity in past but since there is work done over decades with use of percutaneous aspiration and percutaneous drainage along with antibiotics; percutaneous drainage is currently the treatment of choice in liver abscess. Percutaneous needle aspiration (PNA) as an alternative to continuous percutaneous catheter drainage in combination with systemic antibiotics for the treatment of PLA has never been popular.Aims …
Published in Research and Reviews : Journal of Surgery · Vol. 6, Issue 2, 2017 · pp. 22–27 Read article
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Alzheimer’s Disease Detection Using ML Algorithm
Abstract: A degenerative neurological state of affairs, Alzheimer's disease (AD) gradually impairs cognitive and functional capacities, especially in people over 65. Early AD detection is crucial for efficient management and treatment prep. This study delves into novel approaches for the early detection of AD using non-invasive methods. We've implemented a blend of neuroimaging data analysis and machine learning algorithms to pinpoint markers indicative of the disease during its initial phases. Our …
Published in Journal of Experimental & Applied Mechanics · Vol. 15, Issue 3, 2024 · pp. 53–57 Read article
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Automated Machine Learning System for Model Selection and Hyperparameter Optimization
Abstract: The proliferation of machine learning applications in various scientific and industrial domains has given rise to an urgent need for developing principled, automated techniques for optimal architecture selection and hyperparameter tuning for machine learning models without human expert intervention. In this paper, we introduce the Automated Machine Learning System for Model selection and hyperparameter Optimization (AMLSMO)—a state-of-the-art, all-encompassing AutoML system that combines the power of meta-learning-based warm-starting, Bayesian Optimization with …
Published in Recent Trends in Mathematics · Vol. 3, Issue 2, 2026 · pp. 15–23 Read article
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Optimization of Automatic Energy Management System Using Renewable Resources
Abstract: With the increasing demand for energy efficiency and sustainability, smart home energy management systems (SHEMS) have emerged as promising solutions to optimize residential energy consumption. This paper presents a comprehensive review of SHEMS technologies, focusing on their design, implementation, and impact. SHEMS integrates advanced sensors, real-time data analytics, and intelligent algorithms to monitor, control, and optimize energy usage within the home environment. By leveraging machine learning and predictive modelling techniques, …
Published in Journal of Thermal Engineering and Applications · Vol. 11, Issue 2, 2024 · pp. 15–22 Read article
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Optimizing Parameters for Dry Sliding Wear Control in Stir-Cast AA7050/SiC Composites
Abstract: Using a pin-on-disc tribometer, this study examined the dry sliding wear behavior of AA7050/SiC composites. The production of this metal matrix composite was achieved through the stir-casting process, which involved an initial step of melting the AA7050 alloy, followed by the careful introduction of silicon carbide (SiC) particles, stirring to achieve uniform dispersion, and finally, casting the molten mixture. Wear rate (WR) was determined by three operational parameters: SiC reinforcement …
Published in Journal of Polymer & Composites · Vol. 14, Issue 1, 2026 · pp. 1624–1635 Read article
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A Model Approach of Controlling Coning in Oil Rim Reservoirs
Abstract: Water and gas coning in oil rim reservoirs poses serious hindrance to optimizing oil production in the thin oil beds as unwanted fluids tend to replace oil in the production stream. This invariably limits the ultimate oil recovery. In this study, semi-analytical models of estimating critical rate and optimum horizontal well placement were developed to control coning tendencies in oil rim reservoirs. The models were developed through semi-analytical analysis of …
Published in Journal of Petroleum Engineering & Technology · Vol. 2, Issue 1-3, 2012 · pp. 1–10 Read article
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Impact on Mobility and Mortality in Minimally Invasive Surgeries
Abstract: Minimally invasive surgery (MIS) presents numerous advantages such as fewer complications, shorter hospital admissions, and reduced patient discomfort. This surgical method has progressed significantly, with laparoscopy being one of its earliest applications. Laparoscopy involves the insertion of miniature cameras and instruments through small incisions. Robotic-assisted surgery, another form of MIS, enhances surgical precision and offers a three-dimensional view. With technological developments, MIS has gained widespread acceptance among both surgeons and …
Published in Research and Reviews : Journal of Surgery · Vol. 14, Issue 3, 2025 · pp. 8–21 Read article
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Nitrogen Fertilizer Rates and Spacing on Yield Components of Pepper Capsicum annum L. at Bure District, North Western Ethiopia
Abstract: Hot pepper is an important spice and vegetable crop in Ethiopia, but its productivity is low due to poor agronomic practices including inappropriate nutrient supply and poor inter-row spacing management. The experiment was carried out in the field in the year 2019/20 to know the effect of the rates of N fertilizer and spacing on the yield-attributed factors of pepper. The experiment consisted of factorial combinations on four levels of …
Published in Journal of Catalyst & Catalysis · Vol. 9, Issue 3, 2022 · pp. 44–54 Read article
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Assessment of Hygienic Practice on Complementary Food among Mothers with 6–24 Months Age Living Young Children in Mohoni Town, North Eastern Ethiopia, 2015
Abstract: Timely introduction of appropriate complementary foods promotes good nutritional status and growth in infants and young children. Inadequate sanitary conditions and poor hygiene practices play major roles in the increased burden of communicable disease within developing countries. Inadequate food hygiene is considered to be one of the major contributors to diarrhea. The objective of this study was to assess awareness and hygienic practices on complementary food among mothers with 6–24 …
Published in Research and Reviews : A Journal of Immunology · Vol. 6, Issue 1, 2016 · pp. 6–11 Read article
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Effect of vehicle composition on signalized intersection capacity
Abstract: For the design of signalized intersections, capacity is the most critical parameter used. Proper capacity assessment plays an important role in deciding the degree of operation. In order to estimate capacity, the saturation flow rate must be assessed by considering the parameters affected. The main objective of the present study is to identify the impact of the composition of the vehicle and the effect of the time taken to cross …
Published in Trends in Transport Engineering and Applications · Vol. 8, Issue 3, 2021 · pp. 1–7 Read article
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Antibiotic Resistance: Molecular Mechanisms of Resistance
Abstract: Antibiotics are called as ‘Wonder Drugs’, the miracles of modern sciences. They help combat bacteria and prevent their growth. But due to unmonitored and uncontrolled consumption of these antibiotics, there is an emergence of antibiotic resistance. This has led to a series of downfall in the therapeutic potency and efficacy of many drugs. More and more bacteria are becoming Multi-Drug Resistant (MDR); such highly resistant strains of certain bacteria are …
Published in Research and Reviews: A Journal of Microbiology and Virology Read article
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Intrusion Detection Using ANN Machine Learning for MIM, DOS, BO
Abstract: Intrusion detection system is a software program developed to use on computer systems so that it can identify intrusion attack with help of different techniques like the machine learning algorithms. The variety of assaults over the internet has multiplied through the years because of the development and smooth availability of computing technologies. Attackers develop new attack types, so in order to save you from those assaults, intrusion detection systems must …
Published in Journal Of Network security Read article