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246 articles for “cross-evaluating”
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Grey relational fractional programming and cross-evaluating method for multi-attribute decision making problem in spherical fuzzy setting
Abstract: To apply the spherical fuzzy sets(SFSs) for multiple attribute decision making (MCDM) problems have the more realistic significance, because of the assessment data specified by experts are mostly fuzzy and uncertain, the uncertainty and vagueness, ambiguity and subjectivity of the information in an intricate decision making environment, In this paper, a method to acquire attribute weights of interval number form by using the maximization method of the grey relational relative …
Published in Research & Reviews : Journal of Statistics · Vol. 12, Issue 3, 2023 · pp. 40–52 Read article
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Synthesis, Crosslinking and Evaluation of Graft Polymer for Biomedical Use
Abstract: The objective of this research was focused on grafting of acrylic acid (AA) with hydroxypropyl methylcellulose (HPMC) to obtain copolymers of hydrogels with improved properties for ease of administration and reducing the dose frequency, improved patient compliance and comfort of sustained release medication. Water-absorbing polymers for hydrogels, the swellable polymeric materials have been widely investigated as the carrier for drug delivery system. These are the advanced polymer systems that hold …
Published in Research and Reviews: A Journal of Pharmaceutical Science · Vol. 3, Issue 1, 2012 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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Crossroads of Ecology and Medicine: Evaluating Pollutant-Induced Risks to Biodiversity and Human Health
Abstract: Environmental pollution has emerged as a central challenge at the crossroads of ecology and human medicine. The rapid pace of industrialization, urbanization, and agricultural intensification has led to an unprecedented release of pollutants into the air, water, and soil—triggering cascading effects on ecosystems and human health. Pollutants such as particulate matter, heavy metals, pesticides, microplastics, endocrine-disrupting chemicals, and persistent organic pollutants not only degrade biodiversity but also exert multifaceted health …
Published in International Journal of Environmental Noise and Pollution Control · Vol. 3, Issue 1, 2025 · pp. 41–53 Read article
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Native Language Identification from Spoken Indian English
Abstract: Automatic speech recognition (ASR) systems that facilitate voice based search and information retrieval have gained importance recently. While the performance of ASR systems for Indian languages have improved in the recent past. They have yet to gain wide acceptability as much as the ASR systems for English spoken by Indians. Almost all Indians learn English as a second or third language. So, the phoneme set and the prosody of native …
Published in Trends in Electrical Engineering · Vol. 9, Issue 2, 2019 · pp. 1–6 Read article
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Design and Structural Evaluation of a Dual-Axle Trailer Frame with a Focus on Increasing Strength While Aiming to Reduce Overall Weight
Abstract: The primary objective of this project is to evaluate various cross-sections and materials for the structural frame. The frame includes elongated side components and a central longitudinal member, which is connected to several cross-supports. The design focuses on optimizing both the cross-support layout and the choice of materials, incorporating composites to enhance performance. Load conditions are also altered to achieve improved efficiency. Static simulations are performed using ANSYS, while CATIA …
Published in Journal of Experimental & Applied Mechanics · Vol. 16, Issue 2, 2025 · pp. 9–17 Read article
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Investigations with WDM Network using Optical Cross Connects
Abstract: AbstractOptical cross-connects are key part of the wavelength division multiplexed based optical communication networks. Accordingly, this paper is focused on the performance evaluation for the optical cross-connects. Here, WDM system for the non-return to zero with 100 GHz channel to channel spaced network has been designed. The optical link’s performance has been numerically simulated and successfully explored for the numerous key design parameters at 20 Gbps data rate. Investigations inferred …
Published in Trends in Opto-electro & Optical Communication · Vol. 7, Issue 3, 2017 · pp. 1–6 Read article
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Anthelmintic, Neuropharmacological and Analgesic Activities of Extracts from the Aerial Part of Eclipta alba L.
Abstract: The current study was aimed to investigate the anthelmintic, neuropharmacological and analgesic activities of extracts from the aerial part of the plant Eclipta alba L. (Family: Asteraceae). The anthelmintic activity was performed by observing the time of paralysis and the time of death of earthworms Pheretima posthuma compared with the standard drug, albendazole. The range of minimum to maximum time of paralysis and death of albendazole at the conc. 100 …
Published in Research & Reviews : Journal of Herbal Science · Vol. 5, Issue 1, 2016 · pp. 1–5 Read article
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Effect of Crosstalk of a Proposed Optical Cross-Connect Topology in OXC Switched WDM Networks
Abstract: ABSTRACTThis paper presents an optical wavelength division multiplexed cross-connect topology, which is modified form of the existing optical cross-connect (OXC) topologies. An analytical approach is developed for the proposed topology to explore the effect of crosstalk induced in multichannel WDM networks due to OXC. Factors that affect the magnitude of crosstalk in the OXC are investigated and different parameters are optimized to reduce the total OXC-induced crosstalk. The crosstalk performance …
Published in Trends in Opto-electro & Optical Communication · Vol. 1, Issue 1-3, 2011 · pp. 8–15 Read article
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TIN Model of Water Reservoir Bottom and Assessment of Model Accuracy
Abstract: Natural and anthropogenic processes are causing changes in topography of water reservoir bed. These changes are connected to the income and outcome of the sediment to the water reservoir, so the water depth and total reservoir volume changes too. Knowledge of topography of the water reservoir bed and its changes can be useful for calculation of total actual amount of the sediment, for calculation of the actual volume of water …
Published in Journal of Remote Sensing & GIS · Vol. 5, Issue 1, 2014 · pp. 27–33 Read article
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Electrical Performance of the Silicon Nanowire Double Gate FET
Abstract: Silicon nanowire (SiNW) metal-oxide-semiconductor field-effect transistor (MOSFET) is a promising candidate of future CMOS device for further scaling. As the cross-sectional dimensions of SiNW channel is very small, cross-sectional shapes should affect electrical characteristics of SiNW FETs. In this work, effects of cross-sectional shapes of gate stack formation on (i) properties of double gate of SiNW FET; (ii) carrier transport properties including on-current, effective carrier mobility and inversion charge density; …
Published in Nano Trends – A Journal of Nano Technology & Its Applications · Vol. 22, Issue 3, 2020 · pp. 5–11 Read article
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Genomic Selection for Grain Yield in Wheat Using Machine Learning on DArT Molecular Markers: A Comparative Evaluation Across Multi-Environment Trials
Abstract: Genomic selection (GS) predicts complex quantitative traits directly from genome-wide molecular markers, bypassing the need for extensive phenotypic trials and accelerating plant breeding cycles. We conducted a comparative evaluation of seven regression approaches — ridge regression (the machine-learning equivalent of RR-BLUP), Lasso, Elastic Net, Partial Least Squares, linear Support Vector Regression, Random Forest, and Gradient Boosting — for predicting grain yield from 1,279 Diversity Array Technology (DArT) molecular markers genotyped …
Published in Research and Reviews : Journal of Computational Biology · Vol. 15, Issue 2, 2026 Read article
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Lower Extremity Dysfunction in Recreational Footballers: A Cross-sectional Study
Abstract: The purpose of the present study was to evaluate the lower extremity dysfunction in male recreational football players. A cross-sectional survey was carried out on 100 recreational football male players using lower extremity functional scale questionnaire including males and females in the age group 17– 25 years. Football players are most frequently impacted by 37% of them having trouble making abrupt turns while sprinting, 26% having trouble running on uneven …
Published in Research and Reviews : A Journal of Medical Science and Technology · Vol. 12, Issue 3, 2024 · pp. 21–26 Read article
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Effect of Initiation of Breast-Feeding on Maternal-Newborn Attachment: A Cross-Sectional Study
Abstract: Introduction: Breastfeeding is the best approach for meeting an infant's psychological and physiological needs. The importance of breastfeeding is best understood in light of the fact that early breastfeeding initiation and skin-to-skin contact soon after birth are essential for a newborn's survival. The connection between a mother and her infant plays a vital role in a child's growth and maturation. Hence, a research investigation was carried out to analyze how …
Published in International Journal of Midwifery Nursing And Practices · Vol. 1, Issue 2, 2023 · pp. 1–9 Read article
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Machine Learning Based House Price Forecasting
Abstract: This research endeavours to craft a predictive model leveraging machine learning to estimate the market value of houses in Delhi. By integrating Python and its powerful libraries, pandas for data processing, Plot for interactive visualizations, scikit-learn for implementing machine learning algorithms, XGBoost for boosting the model's prediction accuracy, and to evaluate the model's performance cross-validation techniques are used. An interactive user interface is created using a Flask web application to …
Published in Current Trends in Information Technology · Vol. 14, Issue 1, 2024 · pp. 5–11 Read article
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Enhanced Multimodal Disease Prediction Using Hybrid Ensemble Learning and AutoML Techniques
Abstract: The integration of hybrid ensemble learning and automated machine learning (AutoML) is revolutionizing disease prediction by addressing the complexity, imbalance, and high dimensionality inherent in medical datasets. This paper proposes an advanced pipeline that combines diverse ensemble learning models with AutoML-based optimization to predict chronic diseases such as kidney diseas-e, Parkinson’s disease, and lung cancer. Publicly available datasets from UCI and PhysioNet repositories were preprocessed using outlier removal, normalization, and …
Published in Research and Reviews : Journal of Computational Biology · Vol. 15, Issue 1, 2026 · pp. 10–20 Read article
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Timely Diabetes Possibility Prediction Using AI Techniques
Abstract: The fastest chronic life-threatening disease affecting more than 422 million people globally is diabetes. The primary causes of type 2 diabetes are lifestyle choices and environmental factors. It is a slowgrowing disease which starts to develop metabolic factors long before they evolve into a disease and is formally diagnosed by a fasting sugar test. There are records of indications related to diabetes from 520 patients in the dataset that was …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 9, Issue 2, 2022 · pp. 37–47 Read article
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Analysis of Speech Using Different Methods
Abstract: In speech analysis, the voiced-unvoiced decision is usually performed in extracting the information from the speech signals. In this paper, two methods are performed to separate the voiced and unvoiced parts of the speech signals. These are zero-crossing rate (ZCR) and energy. In here, we evaluated the results by dividing the speech sample into some segments and used the zero-crossing rate and energy calculations to separate the voiced and unvoiced …
Published in Current Trends in Signal Processing · Vol. 2, Issue 1-3, 2012 · pp. 11–25 Read article
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Drug Utilisation and Cost Analysis in End-Stage Renal Disease Patients: A Prospective Observational Study
Abstract: Chronic Kidney Disease (CKD) is a condition in which the kidneys are damaged and unable to efficiently remove waste and excess fluid from the blood. Dialysis serves as a treatment for CKD by artificially carrying out the kidney’s filtering functions. This prospective observational cross-sectional study was conducted to evaluate drug utilization patterns, economic burden, and health-related quality of life (HRQoL) among patients with end-stage renal disease (ESRD) undergoing dialysis. Over …
Published in Research and Reviews: A Journal of Health Professions · Vol. 15, Issue 2, 2025 · pp. 1–12 Read article
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Prevalence of Obesity among School Children in South Delhi
Abstract: Introduction: Being overweight or obese constitutes well-established risk elements for non- communicable diseases (NCDs), bringing about a range of health implications. The global increase in obesity rates has impacted nations across the spectrum of development, encompassing both developed and developing regions, with India being no exception. Children and adolescents are increasingly vulnerable to obesity, raising concerns about its long-term health impacts. Material and Method: A cross-sectional study was conducted to …
Published in Research and Reviews: A Journal of Health Professions · Vol. 13, Issue 3, 2023 · pp. 78–83 Read article