Search Results - "Majhi, Babita"
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A Modified Artificial Neural Network (ANN)-Based Time Series Prediction of COVID-19 Cases from Multi-Country Data
Published in Journal of the Institution of Engineers (India). Series B, Electrical Engineering, Electronics and telecommunication engineering, Computer engineering (01-04-2023)“…The deadly Corona virus that first appeared in a seafood market in the Wuhan city of China in December 2019 has been causing global distress by claiming lives…”
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Improved prediction of daily pan evaporation using Deep-LSTM model
Published in Neural computing & applications (01-06-2020)“…Precise measurement or estimation of evaporation losses is extremely important for the development of water resource management strategies and its effective…”
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Forecasting the CO2 Emissions at the Global Level: A Multilayer Artificial Neural Network Modelling
Published in Energies (Basel) (01-10-2021)“…Better accuracy in short-term forecasting is required for intermediate planning for the national target to reduce CO2 emissions. High stake climate change…”
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Pan evaporation modeling in different agroclimatic zones using functional link artificial neural network
Published in Information processing in agriculture (01-03-2021)“…Pan evaporation is an important climatic variable for developing efficient water resource management strategies. In the past, many machine learning models are…”
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A novel improved prediction of protein structural class using deep recurrent neural network
Published in Evolutionary intelligence (01-06-2021)“…For last few decades, sequence arrangement of amino acids have been utilized for the prediction of protein secondary structure. Recent methods have applied…”
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Detection of Disease-Specific Parent Cells Via Distinct Population of Nano-Vesicles by Machine Learning
Published in Current pharmaceutical design (01-01-2020)“…The diagnosis and prognosis of pathological conditions, such as age-related macular degeneration (AMD) and cancer still need improvement. AMD is primarily…”
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Application of Artificial Intelligence in Pharmaceutical and Biomedical Studies
Published in Current pharmaceutical design (01-01-2020)“…Artificial intelligence (AI) is the way to model human intelligence to accomplish certain tasks without much intervention of human beings. The term AI was…”
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Real-Time Identification of Fuzzy PID-Controlled Maglev System using TLBO-Based Functional Link Artificial Neural Network
Published in Arabian journal for science and engineering (2011) (01-04-2021)“…In this paper, the teaching–learning-based optimization-based functional link artificial neural network (FLANN) has been proposed for the real-time…”
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On development of novel hybrid and robust adaptive models for net asset value prediction
Published in Journal of King Saud University. Computer and information sciences (01-07-2021)“…Efficient prediction of net asset value (NAV) of various investment fund is crucial for both investors and fund management organisations. But prediction of…”
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Reference evapotranspiration modeling using radial basis function neural network in different agro-climatic zones of Chhattisgarh
Published in Journal of agrometeorology (01-09-2019)“…Precise estimation of evapotranspiration (ET) is extremely essential for efficient utilization of available water resources. Among the empirical models,…”
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An improved method for diagnosis of Parkinson's disease using deep learning models enhanced with metaheuristic algorithm
Published in BMC medical imaging (24-06-2024)“…Parkinson's disease (PD) is challenging for clinicians to accurately diagnose in the early stages. Quantitative measures of brain health can be obtained safely…”
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Forecasting of currency exchange rates using an adaptive ARMA model with differential evolution based training
Published in Journal of King Saud University. Computer and information sciences (01-01-2014)“…To alleviate the limitations of statistical based methods of forecasting of exchange rates, soft and evolutionary computing based techniques have been…”
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Development and Performance Evaluation of a Novel Knowledge Guided Artificial Neural Network (KGANN) Model for Exchange Rate Prediction
Published in Journal of King Saud University. Computer and information sciences (01-10-2015)“…This paper presents a new adaptive forecasting model using a knowledge guided artificial neural network (KGANN) structure for efficient prediction of exchange…”
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On The Development And Performance Evaluation Of A Multiobjective GA-based RBF Adaptive Model For The Prediction Of Stock Indices
Published in Journal of King Saud University. Computer and information sciences (01-09-2014)“…This paper develops and assesses the performance of a hybrid prediction model using a radial basis function neural network and non-dominated sorting…”
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Development and evaluation of novel forecasting adaptive ensemble model
Published in The Journal of finance and data science (01-09-2016)“…This paper proposes a new ensemble based adaptive forecasting structure for efficient different interval days' ahead prediction of five different asset values…”
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Sentiment analysis of Twitter data for predicting stock market movements
Published in 2016 International Conference on Signal Processing, Communication, Power and Embedded System (SCOPES) (01-10-2016)“…Predicting stock market movements is a well-known problem of interest. Now-a-days social media is perfectly representing the public sentiment and opinion about…”
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Conference Proceeding -
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Explainable AI-driven machine learning for heart disease detection using ECG signal
Published in Applied soft computing (01-12-2024)“…The majority of countries globally find that cardiovascular diseases have the greatest death rate. Early detection of heart disease is necessary to prevent…”
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A feature selection model using binary FOX optimization and v-shaped transfer function for network IDS
Published in Peer-to-peer networking and applications (01-11-2024)“…There has been a significant rise in the ways the internet caters to day-to-day usage in everyday lives. Significant presence in connecting IoTs, helping via…”
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IIR system identification using cat swarm optimization
Published in Expert systems with applications (15-09-2011)“…► Cat swarm optimization based approach for IIR system identification. ► Cat swarm optimization is more efficient than GA and PSO. ► This algorithm is tested…”
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Differential evolution based radial basis function neural network model for reference evapotranspiration estimation
Published in SN applied sciences (2021)“…The present study is an effort to examine the capability of a differential evolution based radial basis function neural network (RBFDE) to model weekly…”
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