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169 articles for “MS Based.”
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Cast’ing People in Continuous Quality Improvement
Abstract: Normal 0 false false false EN-US X-NONE X-NONE /* Style Definitions */ table.MsoNormalTable {mso-style-name:"Table Normal"; mso-tstyle-rowband-size:0; mso-tstyle-colband-size:0; mso-style-noshow:yes; mso-style-priority:99; mso-style-qformat:yes; mso-style-parent:""; mso-padding-alt:0in 5.4pt 0in 5.4pt; mso-para-margin:0in; mso-para-margin-bottom:.0001pt; mso-pagination:widow-orphan; font-size:11.0pt; font-family:"Calibri","sans-serif"; mso-ascii-font-family:Calibri; mso-ascii-theme-font:minor-latin; mso-fareast-font-family:"Times New Roman"; mso-fareast-theme-font:minor-fareast; mso-hansi-font-family:Calibri; mso-hansi-theme-font:minor-latin; mso-bidi-font-family:"Times New Roman"; mso-bidi-theme-font:minor-bidi;} The Hindu population has been divided into 4 classes (varna’s) paradigmed by Rishi Manu. These are: Brahmin, Kshatrya, Vaishta and Shudra. This 'varna vyavastha' is an arrangement based …
Published in OmniScience: A Multi-disciplinary Journal · Vol. 1, Issue 2, 2011 · pp. 1–20 Read article
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Machine Learning–Guided Cognitive RF System with Dynamic FFT Resolution and Multiplier Reconfiguration for Adaptive Anti-Jamming Communication
Abstract: This paper presents a hierarchical adaptive RF communication system that integrates signal quality-based pre- processing with machine learning-driven signal classification to achieve robust and resource-efficient operation in dynamic, interference-prone environments. Unlike prior art that addresses adaptive RF, ML classification, or anti-jamming individually, this work uniquely combines real-time SNR/RSSI-based signal strength estimation with dynamic FFT size selection (64-, 256- , or 512-point) and arithmetic-level multiplier reconfiguration (CORDIC, Distributed Arithmetic, and hybrid …
Published in International Journal of Radio Frequency Innovations · Vol. 4, Issue 1, 2026 Read article
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Intelligent ECG Signal Noise Removal with Moving Median Filter Using Neural Network
Abstract: In this paper, the electrocardiogram (ECG) signal is susceptible to noise and artifact and it is essential to remove noise using neural network. The noise in order to support first 3600 of noisy heart signal is collected from MIT-BIH data base. In this paper, the use of average median filter and artificial neural network is analyzed. The available filters for power-line interference need a reference channel or regard that the …
Published in Current Trends in Signal Processing · Vol. 3, Issue 2, 2013 · pp. 19–25 Read article
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Molecular Identification and Characterization of a Rice Field Cyanobacterium for its Possible Use as Biofertilizer in Acidic Environment
Abstract: Normal 0 false false false EN-US X-NONE X-NONE /* Style Definitions */ table.MsoNormalTable {mso-style-name:"Table Normal"; mso-tstyle-rowband-size:0; mso-tstyle-colband-size:0; mso-style-noshow:yes; mso-style-priority:99; mso-style-qformat:yes; mso-style-parent:""; mso-padding-alt:0in 5.4pt 0in 5.4pt; mso-para-margin:0in; mso-para-margin-bottom:.0001pt; mso-pagination:widow-orphan; font-size:11.0pt; font-family:"Calibri","sans-serif"; mso-ascii-font-family:Calibri; mso-ascii-theme-font:minor-latin; mso-fareast-font-family:"Times New Roman"; mso-fareast-theme-font:minor-fareast; mso-hansi-font-family:Calibri; mso-hansi-theme-font:minor-latin; mso-bidi-font-family:"Times New Roman"; mso-bidi-theme-font:minor-bidi;} Initial screening for cyanobacterial diversity in rice fields of Meghalaya revealed presence of a limited number of species predominantly belonging to heterocystous cyanobacteria such as Nostoc and Anabaena. …
Published in Research and Reviews: A Journal of Microbiology and Virology · Vol. 1, Issue 3, 2011 · pp. 1–12 Read article
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Drug Use Evaluation of Iron with Folic Acid During Pregnancy at Alem Ketema Enat Hospital, North shoa, Amhara, Ethiopia
Abstract: Drug use evaluation (DUE) is the ongoing, systematic and criteria-based program of medicine evaluations that will ensure appropriate medicines use. Correct dosage of iron with folic acid (IFA) is recommended by WHO to prevent iron deficiency anemia during pregnancy. Even if it affects populations, pregnant mothers are prone to develop anemia. Iron deficiency anemia contributes for 95% of anemia during pregnancy reflecting the need for iron to pregnant women. Foliatesupplementation …
Published in Trends in Drug Delivery · Vol. 4, Issue 3, 2017 · pp. 1–8 Read article
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Exploring the Effect of Modified Nanosilica on a Model LDPE–EVA-based TPE System
Abstract: The effect of modified nanosilica particles on a model low-density polyethylene (LDPE)–ethylene vinyl acetate copolymer (EVA) based thermoplastic elastomer (TPE) blend system is explored in this article. Modified nanosilica particles were melt-blended with the LDPE-EVA system at 1.5, 3, and 5 wt% loadings through the variation of the sequence of addition. The blends were compression molded, and their morphological, rheological, mechanical and thermal properties were evaluated. The properties of the …
Published in Nano Trends – A Journal of Nano Technology & Its Applications · Vol. 17, Issue 3, 2015 · pp. 6–16 Read article
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Real-Time Deepfake Detection in Video Conferencing Systems
Abstract: Deepfake technology presents non-exemplary threats to video conferencing platforms, enabling advanced fraud, impression and misinformation campaigns worth billions annually. Current detection methods either exhibit latencies exceeding 100ms or rely on server-side cloud processing, raising privacy concerns. This paper presents DeepConfGuard, a lightweight hybrid architecture combining MobileNetV2 for spatial feature extraction, a bidirectional LSTM with attention for temporal modelling, and EfficientNetV2 for refinement. It reaches 94.8% accuracy with 85 ms end‑to‑end …
Published in International Journal of Electronics Automation · Vol. 4, Issue 2, 2026 Read article
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Rheumatoid Arthritis and Stem Cell Therapies Perspectives for It
Abstract: Rheumatoid arthritis (RA) is a chronic autoimmune disorder characterized by systemic inflammation, primarily affecting synovial joints, leading to joint destruction and systemic complications. The pathogenesis involves immune system dysregulation, autoantibody production, and enzymatic imbalances. Enzymes, including matrix metalloproteinases (MMPs), serine proteases, and kinases, play crucial roles in these processes. Their dysregulation contributes significantly to disease progression through the imbalance of pro-inflammatory cytokines, oxidative stress, and extracellular matrix (ECM) degradation. MMPs, …
Published in Research and Reviews : A Journal of Biotechnology · Vol. 15, Issue 2, 2025 · pp. 20–28 Read article
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A IoT-Enabled Predictive Intelligence for Real-Time Failure and Damage Evolution Monitoring of Polymer Composites
Abstract: Damage assessment of carbon-fibre-reinforced polymer composites is still challenging since the damage occurs as a combination of matrix cracking, interfacial debonding, delamination and fibre fracture. The present work proposes a framework for predictive-intelligence based on IoT for multiaxial fatigue and compression-after-impact (CAI) CFRP experiments, employing publicly available acoustic-emission (AE) datasets. A causal CNN–GRU attention model is developed by integrating time-domain, spectral, wavelet, loading-history and trend features to estimate the damage …
Published in Journal of Polymer & Composites · Vol. 14, Issue 5, 2026 Read article
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Machine Learning Based Optimization of Polymer Structure Property Relationships in Composite Material Systems
Abstract: In modern engineering applications, polymer-based composite materials have garnered a lot of attention because of their lightweight nature, high strength-to-weight ratio, and changing physical features. In order to maximize the relationships between polymer structure and properties in composite materials, this study suggests a strategy based on reinforcement learning (RL). The research utilized the Polymer Composite Properties Dataset, which contains 12,700 records associated with polymer matrices, reinforcement fillers, interfacial bonding characteristics, …
Published in Journal of Polymer & Composites · Vol. 14, Issue 3, 2026 · pp. 242–255 Read article
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A Case of Low-Grade Fibromyxoid Sarcoma: A Rare Soft Tissue Sarcoma
Abstract: Sarcomas are heterogeneous group of tumours that can occur throughout the body. Approximately two third of soft tissue sarcomas (STS) arises in the extremities. These rare tumours accounts for less than 1% cancers in adults. Treatment algorithm for STS depends on tumour stage, site and histology. A 28-year-male patient presented with complaint of swelling over the right anterior aspect of leg since past six months. He had a history of …
Published in Research and Reviews : Journal of Surgery · Vol. 7, Issue 1, 2018 · pp. 1–4 Read article
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Awareness and Preparedness Regarding Disasters among Residents of An Urban Slum in Delhi
Abstract: The burden of natural disasters falls most heavily upon developing nations where over 95% of disaster related deaths occur. Urban areas are especially prone to disasters affecting millions of people each year through loss of life, serious injury, and loss of assets and livelihoods. To assess the awareness and preparedness about disasters among residents of an urban slum in central Delhi, a community based cross sectional study was conducted among …
Published in Research and Reviews: A Journal of Medicine · Vol. 1, Issue 1, 2011 · pp. 63–66 Read article
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Harnessing AI in the library of IITs: A Journey Towards Automation to Intelligence
Abstract: This study carries out an in-depth analysis of the impact and execution of Artificial Intelligence (AI) technologies in one of the noteworthy libraries in the twenty-three (23) Indian Institutes of Technology (IITs). It would be pertinent to mention that there is hardly any doubt that one of the most radiating technologies in the field of computing technologies is Artificial Intelligence which in turn is rendering a profound impact on the …
Published in Journal of Advancements in Library Sciences · Vol. 13, Issue 1, 2026 · pp. 95–105 Read article
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Techniques for Disposing of Household Waste: Centralized and Decentralized Sites in Salem
Abstract: The impact of biomacromolecule-based household waste and its disposal strategies in the central and decentralized areas of Salem is complicated by environmental, economic and community factors. The main objective of the study was to evaluate the existing municipal solid waste disposal strategy in the study area. A comprehensive analysis was carried out in each selected city to determine the amount of municipal waste disposed of, its physical composition and its …
Published in Journal of Polymer & Composites · Vol. 12, Issue 4, 2024 · pp. 66–78 Read article
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Probability of Liquefaction induced Ground Failure under the Earthquake Scenario in Kathmandu Valley
Abstract: Kathmandu valley is highly susceptible to liquefaction hazard due to the presence of liquefiable soil up to considerable depth, the presence of shallow ground water table and occurrence of earthquakes at regular intervals. Past studies have also shown the occurrence of liquefaction with examples of observed ejection of sand boil and formation of cracks throughout the valley during 1934 Nepal-Bihar earthquake. Events similar to these were also observed during recent …
Published in Journal of Geotechnical Engineering · Vol. 6, Issue 2, 2019 · pp. 27–38 Read article
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Monitoring Process Performance using Multivariate Control Chart
Abstract: Statistical Process Control (SPC) is the most important procedure and decision making method which allows us to see when a process is working properly and when it is not. Walter A. Shewhart developed the concept of control chart in 1920’s, which provides a simple way to determine if the process is in control or not. Variation is present in any process, deciding when the variation is natural and when it …
Published in Research & Reviews : Journal of Statistics · Vol. 7, Issue 1, 2018 · pp. 53s–56s Read article
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A Factorial Investigation of Hyperparameter Tuning Strategies for Lasso- Based Genomic Prediction
Abstract: In an earlier comparative study of machine-learning methods for genomic prediction of wheat grain yield, we reported a counter-intuitive result: automated nested-cross-validation tuning of the Lasso regularization penalty reduced mean predictive ability relative to a fixed, arbitrarily chosen penalty (mean Pearson r falling from 0.408 to 0.349 across four environments), the opposite of the expected effect of hyperparameter tuning. We hypothesized two possible explanations at the time — high-variance penalty …
Published in Research and Reviews : Journal of Computational Biology · Vol. 15, Issue 2, 2026 · pp. 42–51 Read article
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MSW Landfill Site Selection for Hyderabad City Using GIS and AHP
Abstract: One of the significant difficulties in most of massive urban areas is lack of land for waste disposal. According to UN world population prospects, about 54% of the population resides in urban areas which are anticipated to rise to 66% by 2050. India is estimated to add 404 million urban dwellers by 2050. The substantial increase in the population growth has lead to the immense generation of waste. 5000 TPD …
Published in Journal of Remote Sensing & GIS · Vol. 9, Issue 1, 2018 · pp. 15–25 Read article
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An Improved Power Line Interference Reduction Approach Based on Combination of Mirror Extension and IIR filtering Through a Data Driven Mechanism
Abstract: Electrocardiogram (ECG) is a clinical sign monitoring measurement of the cardiac abnormalities. Like other biomedical signals, the ECG signal is also contaminated by various kinds of noise and artifacts such as power line interference, base line wandering, muscle artifacts and electrode artifacts. The present paper proposes a scheme for power line interference (PLI) reduction from ECG signal. It makes use of the concept of mirror method, empirical mode decomposition (EMD) …
Published in Current Trends in Signal Processing · Vol. 7, Issue 2, 2017 · pp. 13–21 Read article
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Whole-body Vibration among Operators of Mining Equipment in Indian Mining Condition: a Short Review and Recommendation
Abstract: The article focuses on the study of vibration control of heavy equipment mining machines (HEMMs), and its effect on workers involved in mining work. An effort has been made to study whole-body vibration (WBV) in open pit mining based on seat design factors. Mining machinery operators are exposed to WBV. The effect of these occupational hazards is slow, but it can be demonstrated that it is a serious cause of …
Published in Trends in Machine design · Vol. 6, Issue 3, 2019 · pp. 23–27 Read article