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139 articles for “data compression”
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Advances in Deep Learning for Medical Image Analysis in the Era of Precision Medicine
Abstract: Medical imaging is fundamental to modern healthcare but analyzing the high-dimensional data requires advanced techniques. Manual image interpretation is time-consuming, subjective and limited in detecting complex patterns and minute details. Recent breakthroughs in Deep Learning offer transformative advances for unlocking clinically relevant information from medical images. This paper provides a comprehensive 6000+ word review of the current state-of-the-art Deep Learning techniques for medical image analysis including detailed coverage of key …
Published in Research and Reviews : Journal of Computational Biology · Vol. 12, Issue 2, 2023 · pp. 10–23 Read article
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Synthesis and Characterization of VO 2+ doped SrMg 2 (PO 4 ) 2 Nanopowder by Solid State Reaction technique suitable for White LED material
Abstract: VO2+ doped SrMg2(PO4)2 nanopowder was synthesized by using solid state reaction (SSR) technique. Various experimental techniques have been performed on prepared sample. XRD analysis has revealed that prepared nanopowder is in monoclinic phase. The average crystallite size, micro strain and dislocation density evaluated and make an analogy with W-H plot method. SEM micrographs shows that agglomerated stone like structure and EDS spectrum shows elemental compositions of synthesized sample. FTIR spectrum …
Published in Journal of Polymer & Composites · Vol. 12, Issue 4, 2024 · pp. 95–110 Read article
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Optimization of Green Sand Casting Process Using Genetic Algorithm
Abstract: This research includes minimization of some of the sand casting defects like Blowholes, Cracks, Porosity using genetic algorithm. Data collection is carried out from medium scale sand casting industry. Some of critical parameters like moisture, permeability, LOI, compressive strength, volatile content, vent holes, pouring time, pouring temperature and mould hardness are identified in the process. L27 orthogonal array is selected. Genetic algorithm is used to optimized the process parameters. Process …
Published in Trends in Machine design · Vol. 4, Issue 2, 2017 · pp. 25–29 Read article
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Molecular Interaction Study of Glycine in Aqueous Lactose Solution Using Volumetric, Acoustic and Viscometric Methods at Different Temperatures
Abstract: Normal 0 false false false EN-US X-NONE X-NONE Density, viscosity, sound speed and refractive index of glycine in aqueous lactose solution at varying concentrations from 0.1035 to 1.0345 m at 298, 308, and 318 K have been determined using precalibrated bycapillary pycnometer, Ostwald’s viscometer and single frequency ultrasonic interferometer at 2 MHz frequency respectively. The derived acoustic parameters like apparent molal volume( ), apparent molal compressibility( ), specific acoustic impedance …
Published in Journal of Modern Chemistry & Chemical Technology · Vol. 3, Issue 1, 2012 · pp. 17–27 Read article
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Effect of Compression Ratio and Fuel Injection Pressure on the Performance and Emissions of a CI Engine with Methyl Esters of Pongamia Oil
Abstract: Diesel fueled compression ignition engines are invariably used in light, medium and heavy duty applications. Heavy dependence on petroleum derived diesel fuel has led to the twin problems of loss of exchequer and environmental pollution. The intensive research revealed that transesterified vegetable oils could be the best substitute for existing diesel engines. The present paper deals with experimental investigations on a typical compression ignition engine when it was run at …
Published in Journal of Alternate Energy Sources & Technologies · Vol. 6, Issue 3, 2015 · pp. 8–17 Read article
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A Quasi-Experimental Study to Assess the Effectiveness of Hot Fomentation versus Cold Compress in Reducing Infiltration among Patients Undergoing IV Infusion in a Selected Hospital of Delhi
Abstract: A quasi-experimental study to assess the effectiveness of hot fomentation versus cold compress in reducing infiltration and associated pain among patients undergoing IV infusion in a selected hospital of Delhi. The objectives of the study were (i) to assess the degree of infiltration in both the groups (ii) to assess the level of infiltration after the intervention in both the groups (iii) to compare the level of infiltration before and …
Published in Research and Reviews : Journal of Surgery · Vol. 5, Issue 1, 2016 · pp. 24–30 Read article
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A Survey on Hydrogen Storage System using Composite Material and its Alloys
Abstract: The transition to a carbon-neutral energy landscape hinges on the ability to store hydrogen safely, densely, and reversibly. While high-pressure tanks and cryogenic vessels dominate today’s infrastructure, solid-state storage in metallic alloys offers a compelling alternative by combining high gravimetric capacity with intrinsic safety to form a composite material. This work presents a systematic investigation of a family of reversible hydrogen-absorbing composite material alloys—principally Mg-based intermetallics (Mg₂Ni, MgFeMn) and TiV-based …
Published in Nano Trends – A Journal of Nano Technology & Its Applications · Vol. 28, Issue 2, 2025 · pp. 35–42 Read article
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Headway Compression during Queue Discharge at Signalized Intersections under Mixed Traffic Condition
Abstract: The evaluation of capacity at signalized intersection is an important component in the planning, design, operation and management of transportation system. Presently, the methodologies available for the estimation of capacity of signalized intersections are based on the concept of saturation flow(s). Saturation flow is the steady maximum queue discharge rate after the green onset. According to the U.S. Highway Capacity Manual, this steady maximum rate is generally achieved after the …
Published in Trends in Transport Engineering and Applications · Vol. 1, Issue 2, 2014 · pp. 15–22 Read article
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Data Maneuvering Identification
Abstract: Copy-move forgery detection (CMFD) is unquestionably one of the most active research areas in the field of blind image forensics. Most existing algorithms rely on block and key-point strategies, either separately or jointly. Recent applications of deep convolutional neural network (CNN) techniques include image forensics, image hashing retrieval, and picture classification. These techniques have outperformed more conventional techniques in many areas. In this study, a brand-new convolutional neural network based …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 10, Issue 1, 2023 · pp. 99–104 Read article
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Human Robot Interface and Visual Compressive Detecting on Robot Arm
Abstract: Vision compressive sensing, brain machine reference commands, and adaptive controller have been effectively integrated that enable the robot to perform manipulation tasks as guided by human operator’s mind and according to its innovative views. The ideology proposed consists of following main phases: (1) action recognition (2) hardware interfacing. Initially action recognition captures video according to movements enacted in recognition system. Later, in hardware interfacing it passes required commands by a …
Published in Current Trends in Information Technology · Vol. 8, Issue 3, 2018 · pp. 5–12 Read article
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Optimizing Mechanical and Durability Properties of Eco-Friendly Composite Materials Using Recycled Fillers and ML Techniques
Abstract: The increasing demand for sustainable construction materials has intensified the exploration of recycled fillers as partial or full replacements for natural aggregates in composite materials. This study investigates the mechanical and durability performance of polymer matrix composites incorporating processed recycled fillers derived from construction and demolition (C&D) waste. Three distinct processing methods were employed to prepare the recycled fillers: untreated (URF), single processed (SPRF), and double processed (DPRF), with replacement …
Published in Journal of Polymer & Composites · Vol. 13, Issue 5, 2025 · pp. 269–309 Read article
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Prediction Of Compression Index For Lateritic Soil Using Transformed Variable
Abstract: The information on the compression index of a soil is vital in geotechnical design, but its determination is expensive and time consuming. Most models relating compression index and basic soil properties are usually based on soil types. This work seeks to develop a model relationship between compression index and basic soil properties for lateritic soils. Selective transformation method which involves testing some general functional forms, to choose the model that …
Published in Journal of Geotechnical Engineering · Vol. 5, Issue 3, 2018 · pp. 14–23 Read article
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Effects of Polypropylene Fibre on Strength of Geopolymer Concrete
Abstract: In the construction industry, the most vital parameter considered in the current scenario is the sustainable development of the structures. The most used material in construction is concrete, which is primarily made up of Portland cement. The production of Portland cement is nearly about 2.6 billion tonnes per year and is increasing at the rate of 5% annually. The concrete industry contributes about 5–8% of all human generated carbon dioxide …
Published in Recent Trends in Civil Engineering & Technology · Vol. 6, Issue 3, 2016 · pp. 23–31 Read article
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Prediction of shear strength of reinforced concrete beams using Artificial Neural Network and evaluated by Finite Element Software
Abstract: ABSTRACTIn this paper, the Artificial Neural Network (ANN) and the Adaptive Neuro-Fuzzy Inference Framework (ANFIS) are utilized to foresee the shear quality of Reinforced Concrete (RC) shafts, and the models are contrasted and American Concrete Institute (ACI) and Iranian Concrete Institute (ICI) observational codes. The ANN display, with Multi-Layer Perceptron (MLP), utilizing a Back-Propagation (BP) algorithm, is utilizedto foresee the shear quality of RC pillars. Six vital parameters are chosen …
Published in Journal of Construction Engineering, Technology & Management · Vol. 8, Issue 1, 2018 · pp. 34–42 Read article
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Experimental Analysis of Capillary Tube in a Vapor Compression Refrigeration System
Abstract: Abstract A capillary is an essential deice of a vapor compression refrigeration system. It is used to reduce the condenser pressure to evaporator pressure. The refrigerant is expanded enthalpically, the reduction in pressure also reduces corresponding saturation temperature. This paper presents the analysis of expansion device accounting for three different sizes of capillary tubes. The investigations are carried out for different length of capillaries measuring 3, 3.5 and 4 m …
Published in Journal of Refrigeration, Air conditioning, Heating and ventilation · Vol. 3, Issue 1, 2016 · pp. 32–34 Read article
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Depth Map Compression by Contour Networks for Video Sequences
Abstract: The advancing fields in video technology like that of 3D TV and Free Viewpoint Video essentially requires more information to transmit in addition with the 2D color maps. This information is the depth maps of the accompanying scenes from the videos sequences in order to facilitate rendering of arbitrary viewpoints within it. In this study, we present a novel algorithm to determine the contours from the given video sequences and …
Published in Recent Trends in Parallel Computing · Vol. 2, Issue 2, 2015 · pp. 9–13 Read article
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Comparative Evaluation of the Effect of Adhesive Restorative Techniques on the Reinforcement of Simulated Immature Permanent Teeth: An in Vitro Study
Abstract: The aim of the study was to compare the reinforcement effect of 3 different adhesive restorative techniques on simulated immature maxillary central incisors after apexification. A total of 30 simulated immature permanent maxillary central incisors were randomly assigned into 3 groups (n=10), according to the reinforcing technique used: Group 1: Nanohybrid composite. (Tetric N-Ceram Ivoclar Vivadent), Group 2: Short-fiber reinforced composite (everX posterior GC EUROPE) extended 3mm below CEJ, covered …
Published in Journal of Polymer & Composites · Vol. 10, Issue 3, 2022 · pp. 69–75 Read article
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RCCI Engine: Performance and Emission Testing Using Biodiesel
Abstract: With dwindling fossil fuel reserves and rising energy demands, the need for renewable alternatives is more critical than ever. This study explores the potential of Karanja biodiesel, a fuel derived from Karanja oil, as a sustainable replacement for diesel in RCCI engines. Karanja biodiesel offers several advantages. It's renewable, reduces dependence on fossil fuels, and produces lower emissions compared to traditional diesel. This research investigates how Karanja biodiesel blends impact …
Published in Journal of Energy, Environment & Carbon Credits · Vol. 13, Issue 3, 2023 · pp. 30–41 Read article
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A Comprehensive survey of robust image quality metrics for satellite imagery
Abstract: Satellite imagery is essential for applications like environmental monitoring, urban development, precision agriculture, defence surveillance, and disaster response. The reliability of these applications is closely tied to the quality of the captured images, which may be compromised by atmospheric effects, sensor imperfections, compression artifacts, and transmission noise. As a result, accurate image quality assessment (IQA) is essential to ensure trustworthy analysis and informed decision-making in satellite-based systems. The distinctive properties …
Published in Research & Reviews : Journal of Space Science & Technology · Vol. 15, Issue 1, 2026 · pp. 7–20 Read article
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Aerogel Composite from Scope–A Study
Abstract: This article is a study of nano-metric porous dimension so as to originate open scripture to allocate semi-composite organized after drying. Particulate merged add an addendum anew formation to subdivide inter atoms to bond nano-composite ingredients. Properties of matter have been identified to be lower than 100 nm. Reinforce of aerogel as blanket has been designated to bear as usual insulation upon typifying configurative scope as substrate to cover. Adjoined …
Published in Journal of Materials & Metallurgical Engineering · Vol. 11, Issue 1, 2021 · pp. 1–12 Read article