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Article
Two-Stage Hybrid Feature Selection Approach Using Levy’s Flight Based Chicken Swarm Optimization for Stock Market Forecasting
Stock market forecasting is done by analyzing multivariate financial time series generated through technical analysis. However, high-dimensional data deteriorates the prediction performance due to irrelevant f...
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Article
BRL-ETDM: Bayesian reinforcement learning-based explainable threat detection model for industry 5.0 network
To enhance the universal adaptability of the Real-Time deployment of Industry 5.0, various machine learning-based cyber threat detection models are given in the literature. Most of the existing threat detectio...
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Article
WSSOA: whale social spider optimization algorithm for brain tumor classification using deep learning technique
Brain tumors can have detrimental effects on brain function and pose a serious threat to life. Detecting and treating brain tumors early is vital for saving lives. However, identifying tumor-affected brain cel...
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Article
Image-based Parkinson disease detection using deep transfer learning and optimization algorithm
Parkinson’s disease (PD) is typically a neurodegenerative disorder that slowly affects the brain, causes muscle stiffness, limb tremor and impaired balance that tends to get worsen over the time. The early det...
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Chapter and Conference Paper
Stock Market Forecasting Using Additive Ratio Assessment-Based Ensemble Learning
Stock market forecasting is fascinating yet challenging due to the influence of various factors. One such factor is sentiment which can influence the stock market movement. This paper considered historical sto...
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Chapter and Conference Paper
Pedestrian Detection Using Transfer Learning for Intelligent Vehicle Systems
Accidents are becoming more frequent these days as a result of the increase in the number of automobile vehicles on the roadways. Roadside pedestrians are frequently disregarded. Pedestrian deaths in traffic a...
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Article
Portfolio management using Additive Ratio Assessment based stock selection and deep learning for prediction
Portfolio management plays a significant role in wealth management. A wise selection of assets in a portfolio may give a higher return. Higher returns are directly proportional to higher risk. The main concern...
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Article
Hazard identification and risk assessment of opencast transportation system and implementation of safety management plan
Mining being a hazardous operation has extensive environmental, health, and safety risk to miners. So, for an industry like mining to be successful, it should meet not only the production targets but also main...
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Article
Towards the design of vision-based intelligent vehicle system: methodologies and challenges
Rapid growth in technology has changed the way humans live. Ongoing development in the automobile industry is creating intelligent vehicles and this mode of transportation will assist human society. The need f...
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Article
Lane detection in intelligent vehicle system using optimal 2- tier deep convolutional neural network
In Advanced Driver Assistance Systems(ADAS) and autonomous vehicles, lane detection is an important module. Most lane detection methods focused on detecting lanes from a single image and the results from unsat...
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Article
Discrete Wavelet Transform-based feature engineering for stock market prediction
Stock market prediction is an interesting area of research where Technical Indicators (TI) play an important role. However, prediction of stock market movement is difficult due to the presence of noise and irr...
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Chapter and Conference Paper
Dump Slope Stability Rating and Risk Assessment in Opencast Coal Mines: A Case Study
As a part of this paper, detailed risk assessment (identification of hazards, determination of risk score and control measures) was carried out for dump failure in an opencast coal mine. Risk Assessment of dum...
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Chapter and Conference Paper
Pedestrian Detection Using MobileNetV2 Based Mask R-CNN
Pedestrian detection system is one of the recent technological innovations to save human lives on the roadways. According to WHO, road accidents highly contribute to the increasing mortality. These traffic acc...
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Article
A hybrid approach to software fault prediction using genetic programming and ensemble learning methods
Software fault prediction techniques use previous software metrics and also use the fault data to predict fault-prone modules for the next release of software. In this article we review the literature that use...
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Article
Assessment of dispersion of respirable particles emitted from opencast mining operations: development and validation of stepwise regression models
This study gives insight into the spatiotemporal variability of respirable PM concentrations around typically highly mechanized opencast coal mines in India and its influence on ambient air quality, which at p...
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Article
Breast cancer diagnosis in an early stage using novel deep learning with hybrid optimization technique
Breast cancer is one of the primary causes of death that is occurred in females around the world. So, the recognition and categorization of initial phase breast cancer are necessary to help the patients to hav...
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Chapter and Conference Paper
Ensemble Approach for Stock Market Forecasting Using ARIMA and LSTM Model
Stock market is a place where volatility is a major concern. At the same time, stock market data is not consistent due to missing information on some trading days. Forecasting of stock performance is challengi...
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Chapter and Conference Paper
Image Generation Using GAN and Its Classification Using SVM and CNN
In the computer vision world, generative adversarial networks have acquired huge recognition because of their data generation potential without modeling the function of probability density. Generative adversar...
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Chapter and Conference Paper
Human Activity Recognition Using 1D Convolutional Neural Network
Humans are more oriented toward innovative research objectives to recognize objects and understand the environment, evaluating time series and forecasting outcomes patterns due to rapid artificial intelligence...
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Chapter and Conference Paper
VDNet: Vehicle Detection Network Using Computer Vision and Deep Learning Mechanism for Intelligent Vehicle System
Computer vision using deep learning has revolutionized the detection system and vehicle detection is no exception to it. The importance of vehicle classification and detection is in Intelligent Vehicle and Tra...
