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154 articles for “Accuracy estimation”
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AI and Machine Learning Approaches for Estimating Depression Severity: Techniques, Trends, and Applications
Abstract: Depression is a very common mental health disorder that results in a disorder of a person’s behavior, emotions, and cognitive abilities. Depression can be caused by environmental factors or hereditary factors. The person suffering from depression might have symptoms of suicidal thoughts, altering food patterns as well as sleeping issues. Depression is a global issue that has impacted millions of people globally having more effect on women worldwide. The complexity …
Published in Journal of Electronic Design Technology · Vol. 15, Issue 3, 2024 · pp. 29–38 Read article
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Modelling of Large Elasto-plastic Deformations by EFGM
Abstract: Current work reports modelling and simulation of geometric and material nonlinearities arising due large elasto-plastic displacements in structural specimens by invoking enriched element free Galerkin method (EFGM). The displacement approximations are constructed by using moving least square approach. Standard displacement based approximations are modified by incorporating suitable enrichment functions depending on the nature of interfaces present in the components. Large deformations give rise to geometric nonlinearities which have been modelled …
Published in Journal of Polymer & Composites · Vol. 12, Issue 2, 2024 · pp. 130–143 Read article
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A Comparison of Different Generative AI Models
Abstract: Generative models have significantly advanced the field of artificial intelligence by allowing machines to produce complex and realistic outputs such as images, text, and other forms of data. Among the leading frameworks in this domain are generative adversarial networks (GANs), variational autoencoders (VAEs), and architectures based on Transformers. Each model offers specific benefits and drawbacks concerning design structure, training demands, and range of applications. This paper provides a detailed comparison …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 13, Issue 1, 2025 · pp. 16–22 Read article
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Machine Learning Assisted Timing Violation Prediction in Sub-7nm VLSI Physical Design
Abstract: The continuous scaling of semiconductor technology into the sub-7nm regime has introduced significant challenges in timing closure due to process variability, interconnect delay, power density, and manufacturing uncertainties. Conventional static timing analysis techniques often require extensive computational resources and iterative optimization cycles, resulting in increased design complexity and longer turnaround time. This research proposes a Machine Learning Assisted Timing Violation Prediction framework for sub-7nm VLSI physical design to improve early-stage …
Published in International Journal of VLSI Circuit Design & Technology · Vol. 4, Issue 1, 2026 Read article
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Geospatial based Travel Time and Delay Analysis for Urban Road Network
Abstract: Traffic congestion is widely viewed as a growing problem in many urban areas because the overall volume of vehicular traffic in many areas continues to grow faster than the overall capacity of the transportation system. It has become one of the plagues of modern life particularly in developing countries like India where many cities operate under severely congested traffic conditions on a daily basis. Geographical Information Systems and Global Positioning …
Published in Journal of Remote Sensing & GIS · Vol. 6, Issue 2, 2015 · pp. 51–60 Read article
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Estimation of Land Surface Temperature using Landsat Data: a Case Study of Agra City, India
Abstract: Land surface temperature (LST) is an important indicator for the study of climate change, urban environment, heat balance studies, hydrological and agricultural process, and urban land use and land cover as well as user input for climate models. Landsat data is utilized for the number of applications such as environment study, digester and resource management. Land surface temperate is estimated by the help of ArcGIS through Landsat 8 and 5 …
Published in Journal of Remote Sensing & GIS · Vol. 10, Issue 3, 2019 · pp. 48–57 Read article
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Study Analysis of Geolocational Data with Statistics: A Review
Abstract: The biggest challenge while traveling is looking for a place to stay, and considering doing a complete, thorough analysis of real-world data. The objective of the present study is to refer, clean, fetch, analyze and run K Means clustering on geolocational data to suggest lodgings to the travelers and immigrants of a city; maximizing the likelihood of the distances between the target and the landmarks, given the observed delays, yields …
Published in Journal of Advanced Database Management & Systems · Vol. 9, Issue 3, 2022 · pp. 25–30 Read article
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A New Separation Technique for Method, Development and Validation of Aclidinium Bromide and Formoterol Fumarate in Its Pure and Pharmaceutical Dosage Form by Using Rp-HPLC
Abstract: A new simple, precise, selective and accurate, a new method of development and validation using Rp-HPLC for the estimation of Aclidinium bromide and Formoterol Fumarate in its pure and pharmaceutical dosage form. Chromatogram was run through DIKMA Spursil, C18 segment (4.6×150 mm, 5µ0). Mobile phases contain 0.1% OPA: Acetonitrile (30:70) with the use of the 0.1% OPA buffer, stream rate of 1 ml/min and measured in 280 nm. The run …
Published in Research and Reviews: A Journal of Pharmaceutical Science · Vol. 15, Issue 3, 2024 · pp. 18–36 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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Performance Analysis and study of losses in GaAs Multi Junction Solar cells using Current and Voltage Measurements
Abstract: Cross section coordinated, triple-intersection sunlight based cells with strain repaid quantum spots (QDs) in the GaAs center cell were developed by Metal-Organic Chemical Vapor Deposition (MOCVD). Structures with various quantities of QD layers are contrasted with gauge structures with no QDs. Quantum proficiency and light I-V estimations show an expansion in hamper thickness and debasement of the open circuit voltage for QD sun powered cells. The QDs don't work on …
Published in Journal of VLSI Design Tools and Technology · Vol. 12, Issue 1, 2022 · pp. 1–7 Read article
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A Systematic Review on Uncertain and Probabilistic Databases: Principles, Current trends, Future Directions
Abstract: AbstractMost genuine databases contain information whose accuracy is unverifiable. With the end goal to work with such information, there is a need to evaluate the honesty of the information. This is accomplished by utilizing probabilistic databases. A probabilistic database is a dubious database in which the conceivable universes have related probabilities. Probabilistic database administration frameworks are as of now a functioning zone of research. While there are as of now …
Published in Journal of Advanced Database Management & Systems · Vol. 5, Issue 3, 2018 · pp. 1–7 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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Intrusion Eye Detector
Abstract: Uncertainty about security risks and illegal access are becoming more prevalent in a variety of settings, such as private homes, business buildings, and critical government buildings. Conventional security systems, which may not offer real-time warnings or prompt reactions, frequently rely on passive monitoring, including CCTV cameras and motion sensors. Artificial intelligence (AI) and computer vision-based intelligent systems are becoming more and more popular as a means of improving security and …
Published in International Journal of Optical Innovations & Research · Vol. 3, Issue 1, 2025 · pp. 28–32 Read article
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Use of LANDSAT ETM + Data for Detection of Prosopis juliflora in Irrigated Zones
Abstract: Prosopis juliflora (PJ) can be used as a relevant indicator for integrated management of irrigated saline soil in arid zones. Remotely Sensed Landsat Enhanced Thematic Mapper Plus (ETM+) dataset was used for detection and delineation of areas under PJ. The vegetation densities were classified using normalized difference vegetation index (NDVI) whereas soil moisture levels were estimated based on distribution of soil wetness index (SWI). The classified NDVI map was combined …
Published in Journal of Remote Sensing & GIS · Vol. 4, Issue 1, 2013 · pp. 36–47 Read article
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Estimating the Chances of Winning IPL Match using Machine Learning
Abstract: Cricket is a popular sport not only in India but across the world. In recent years, the T-20 variant of this game has become extremely popular. The Indian Premier League (IPL), one of the championships associated with this format, has grown rapidly. On the other hand, cricket has long been considered a high-risk sport. Predicting the winner of the tournament or the game has an area of concern for many …
Published in Journal of Software Engineering Tools & Technology Trends · Vol. 9, Issue 1, 2022 · pp. 28–36 Read article
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Enhancing Power Conversion Efficiency in Tandem Solar Cells with Temporal Dynamic Graph Neural Network
Abstract: In modern homes, people want good comfort and also less electricity bill, so managing heating load and cooling load become very important. Heating Load (HL) and Cooling Load (CL) depend on many things like wall material, window size, sunlight, ventilation, and weather. Because of this many factors, calculation and optimization of HL and CL is little difficult and many time normal formulas give wrong or not perfect results. So in …
Published in Journal of Semiconductor Devices and Circuits · Vol. 13, Issue 2, 2026 · pp. 12–19 Read article
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Analysis and Testing Methods for Solar Thermal Evacuated Tube Collector: A Review
Abstract: Evacuated tube receiver used with parabolic trough collector can be characterized in terms of their heat loss and their optical efficiency. The optical efficiency of the collector involves reflectivity, transmissivity, tracking accuracy, shading by receiver tube surface, shape and absorptance of the material used. On the other hand, receiver tube heat loss includes conductive, convective and radiative losses. Here, in case of evacuated tube, major losses are through radiation, the …
Published in Journal of Thermal Engineering and Applications · Vol. 4, Issue 1, 2017 · pp. 1–4 Read article
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Nonlocal Torsional Vibration of Nanorods
Abstract: Normal 0 false false false EN-US X-NONE X-NONE The present work deals with the torsional vibration of nanorods based on nonlocal elasticity theory. The nonlocal elasticity theory is incorporated into classical rod model to capture unique features of the nanorods under the continuum mechanics theory. The strong effect of the nonlocal scale has been obtained which leads to substantially different behaviors of nanorods from those of macroscopic rods. Nonlocal rod …
Published in Journal of Nanoscience, NanoEngineering & Applications · Vol. 1, Issue 2, 2011 · pp. 36–51 Read article
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A Monte Carlo Simulation Approach to Decision Analytics in Manufacturing and Industrial Automation Project Management
Abstract: Manufacturing and industrial automation projects face high uncertainty and risk arising from factors such as complex supply chains, equipment variability, and fluctuating production demands. If not properly managed, these uncertainties can lead to costly delays, unplanned downtime, and budget overruns that jeopardize project success. Given the shortcomings of deterministic planning in such volatile environments. If not properly managed, it can lead to costly delays and failures if not properly managed. …
Published in Journal of Production Research & Management · Vol. 15, Issue 2, 2025 · pp. 1–12 Read article
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Automatic Language Identification using Basic Signal Class
Abstract: Automatic language identification (ASLID) is a problem of identifying an unknown language from spoken utterance by a computer. A segmental approach to ASLID based on the assumption that the acoustic structure of languages can be estimated by segmenting speech into three basic classes of speech signals. This paper presents a procedure of ASLID with the details of methodology and the results without recognizing the words, but the lengths segments of …
Published in Trends in Electrical Engineering · Vol. 9, Issue 2, 2019 · pp. 12–19 Read article