Search Results - "Das, Asit Kumar"
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1
Rice diseases classification using feature selection and rule generation techniques
Published in Computers and electronics in agriculture (01-01-2013)“…► Fermi energy based segmentation method is applied to extract infected portion from image. ► Two steps Genetic Algorithm has been applied for shape detection…”
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Green Synthesized Biogenic Ag Nanoparticles With Enhanced Antibacterial, Antifungal, Antibiofilm, and Antioxidant Activities: Catalytic Applications in the ipso ‐Hydroxylation of Aryl Boronic Acids
Published in Applied organometallic chemistry (17-10-2024)“…ABSTRACT Green synthesis of metal nanoparticles using plant sources is one of the most environmentally sound, economically safer, and operationally simple…”
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3
An Effective Fuzzy Clustering of Crime Reports Embedded by a Universal Sentence Encoder Model
Published in Mathematics (Basel) (01-01-2023)“…Crime reports clustering is crucial for identifying and preventing criminal activities that frequently happened in society. In the proposed work, named…”
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4
Improving Facial Emotion Recognition Using Residual Autoencoder Coupled Affinity Based Overlapping Reduction
Published in Mathematics (Basel) (01-02-2022)“…Emotion recognition using facial images has been a challenging task in computer vision. Recent advancements in deep learning has helped in achieving better…”
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Rough-Fuzzy Based Synthetic Data Generation Exploring Boundary Region of Rough Sets to Handle Class Imbalance Problem
Published in Axioms (01-04-2023)“…Class imbalance is a prevalent problem that not only reduces the performance of the machine learning techniques but also causes the lacking of the inherent…”
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A Graph Based Clustering Approach for Relation Extraction From Crime Data
Published in IEEE access (2019)“…Application of natural language processing techniques based on crime data can prove to be beneficial in several processes of the criminal justice industry. The…”
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An efficient classifier design integrating rough set and set oriented database operations
Published in Applied soft computing (01-03-2011)“…Feature subset selection and dimensionality reduction of data are fundamental and most explored area of research in machine learning and data mining domains…”
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8
A Modified Differential Evolution With Distance-based Selection for Continuous Optimization in Presence of Noise
Published in IEEE access (2017)“…The performance of evolutionary algorithms (EAs), suitable for optimization on static functional landscapes, usually degrade in presence of noises with…”
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9
Prophesying the Short-Term Dynamics of the Crude Oil Future Price by Adopting the Survival of the Fittest Principle of Improved Grey Optimization and Extreme Learning Machine
Published in Mathematics (Basel) (01-04-2022)“…Crude oil market analysis has become one of the emerging financial markets and the volatility effect of the market is paramount and has been considered as an…”
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10
A Deep Network-Based Trade and Trend Analysis System to Observe Entry and Exit Points in the Forex Market
Published in Mathematics (Basel) (01-10-2022)“…In the Forex market, trend trading, where trend traders identify trends and attempt to capture gains through the analysis of an asset’s momentum in a…”
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11
Multiphase CFD Simulation of Flow Inside Liquid Seal Drums of the Refinery Flare System
Published in Industrial & engineering chemistry research (18-01-2012)“…The present work deals with improving the reliability of the liquid seal drum in the refinery flare system. CFD (based on volume of fluid concept) as well as…”
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12
Graph based ensemble classification for crime report prediction
Published in Applied soft computing (01-08-2022)“…Criminology and crime analysis are growing areas of research dealing with huge amount of past crime reports. Classification analysis identifies the crime…”
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13
Graph-based clustering of extracted paraphrases for labelling crime reports
Published in Knowledge-based systems (01-09-2019)“…Paraphrases are well-known as synonyms that express the same context in different articulations. Extracting paraphrases from a large text corpus is a…”
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14
Modified term frequency-inverse document frequency based deep hybrid framework for sentiment analysis
Published in Multimedia tools and applications (01-09-2023)“…Sentiment Analysis is a highly crucial subfield in Natural Language Processing that attempts to extract the public sentiment from the accessible user opinions…”
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15
Cu(OAc) 2 catalysed aerobic oxidation of aldehydes to nitriles under ligand-free conditions
Published in RSC advances (03-02-2022)“…An economically efficient and environmentally benign approach for the direct oxidative transformation of aldehydes to nitriles has been developed using…”
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16
Neighbour adjusted dispersive flies optimization based deep hybrid sentiment analysis framework
Published in Multimedia tools and applications (15-01-2024)“…A very crucial branch of Natural Language Processing is Sentiment Analysis, which seeks to elicit feelings in the public from feedback provided by users. This…”
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17
Rough set based incremental crime report labelling in dynamic environment
Published in Applied soft computing (01-12-2019)“…The proposed work describes a rough set based incremental crime report labelling technique. The named entities are recognized from the available crime reports…”
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18
Graph based fuzzy clustering algorithm for crime report labelling
Published in Applied soft computing (01-07-2023)“…Globalization influences the frequency and severity of localized traditional patterns of crime in addition to creating conditions for new types of crime. The…”
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Chemoselective and ligand‐free aerobic oxidation of benzylic alcohols to carbonyl compounds using alumina‐supported mesoporous nickel nanoparticle as an efficient recyclable heterogeneous catalyst
Published in Applied organometallic chemistry (01-08-2021)“…An economically efficient and operationally simple ligand‐free protocol for the chemoselective oxidation of benzylic alcohols to carbonyl compounds has been…”
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Imbalanced COVID-19 vaccine sentiment classification with synthetic resampling coupled deep adversarial active learning
Published in Machine learning (01-10-2024)“…Despite an abundance of scientific evidence supporting the effectiveness of COVID-19 vaccines, there has been a recent global surge in vaccine hesitancy,…”
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