Integrated feature engineering based deep learning model for predicting customer's review helpfulness

SP Sharma, L Singh, R Tiwari - Journal of Intelligent & Fuzzy …, 2023 - content.iospress.com
In the current market scenario, online customer reviews had a significant impact on boosting
the sale of online products. Recently, there has been exponential growth in e-commerce …

Prediction of Customer Review's Helpfulness Based on Feature Engineering Driven Deep Learning Model

SP Sharma, L Singh, R Tiwari - International Journal of Software …, 2023 - igi-global.com
Online consumer reviews play a pivotal role in boosting online shopping. After Covid-19, the
e-commerce industry has been grown exponentially. The e-commerce industry is greatly …

Progress in Object Detection: An In-Depth Analysis of Methods and Use Cases

S Tasnim, W Qi - European Journal of Electrical Engineering and …, 2023 - ejece.org
Object detection, a fundamental task in computer vision, involves identifying and localizing
objects within images or videos. This paper provides a comprehensive review of traditional …

A high-quality trajectory generation method for the multi-person tracking

Z Ni, C Zhai, Z Miao, Y Li - Computers and Electrical Engineering, 2024 - Elsevier
Abstract Recently, Multi-Person Tracking (MPT) has experienced significant progress due to
the emergence of innovative methods. However, congestion and occlusion persist as …

Prediction of customer review's helpfulness based on sentences encoding using CNN-BiGRU model

SP Sharma, L Singh, R Tiwari - Journal of Autonomous Intelligence, 2023 - jai.front-sci.com
The infrastructure of smart cities is intended to save citizens' time and effort. After COVID-19,
one of such available infrastructure is electronic shopping. Online consumer reviews have a …

Wireless Sensor Network Based Real-Time Pedestrian Detection and Classification for Intelligent Transportation System

S Kumar, SC Sharma, R Kumar - International Journal of …, 2023 - search.proquest.com
Pedestrian safety has become a critical consideration in developing society especially road
traffic, an intelligent transportation need of the hour is the solution left. India tops the world …

CaSnLi-YOLO: construction site multi-target detection method based on improved YOLOv5s

F Hao, T Zhang, G He, R Dou… - … Science and Technology, 2024 - iopscience.iop.org
To address the problem of the frequent occurrence of major casualties during construction, a
lightweight multi-target detection model based on YOLOv5s, named CaSnLi-you only look …

Uncertainty-Aware Functional Analysis for Electricity Consumption Prediction Using Multi-Task Optimization Learning Model

S Chandrasekaran, M Masthan… - 2023 International …, 2023 - ieeexplore.ieee.org
Energy operators require the best forecasting tools for efficient power system planning and
operation. Machine learning approaches are more popular for the modelling and …

Classification of Parkinson's Disease Based on Acoustic Characteristics Using Feature Selection

S Chandrasekaran, S Athinarayanan… - … on Advances in …, 2024 - ieeexplore.ieee.org
Parkinson's Disease (PD) is the degeneration of the nervous system. Patient suffering with
PD is going through many issues and among the population most of them are elderly …

Improving Accuracy in Object Detection Using Region-Based Convolutional Neural Network

TMK Kumar, S Aluvala, P Mandal… - … Algorithms and Soft …, 2023 - ieeexplore.ieee.org
The object detection is a fundamental computer vision task that involves identifying and
locating objects within a video or image. This technique employed various shape patterns …