b'Anuj Sharma'

research

∙ 08/10/2023

MobiScout: A Scalable Cloud-Based Driving and Activity Monitoring Platform Featuring an IOS App and a WatchOS Extension

MobiScout is an iOS software that monitors users' driving habits and phy...

0 Kojo Konadu Adu-Gyamfi, et al. ∙

research

∙ 06/16/2023

Vision-Language Models can Identify Distracted Driver Behavior from Naturalistic Videos

Recognizing the activities, causing distraction, in real-world driving s...

0 Md. Zahid Hasan, et al. ∙

research

∙ 11/10/2022

Driver Maneuver Detection and Analysis using Time Series Segmentation and Classification

The current paper implements a methodology for automatically detecting v...

0 Armstrong Aboah, et al. ∙

research

∙ 09/11/2022

Lexicon and Attention based Handwritten Text Recognition System

The handwritten text recognition problem is widely studied by the resear...

0 Lalita Kumari, et al. ∙

research

∙ 08/20/2022

Offline Handwritten Mathematical Recognition using Adversarial Learning and Transformers

Offline Handwritten Mathematical Expression Recognition (HMER) is a majo...

0 Ujjwal Thakur, et al. ∙

research

∙ 07/15/2022

Glucose Control, Sleep, Obesity, and Real-World Driver Safety at Stop Intersections in Type 1 Diabetes

Background: Diabetes is associated with obesity, poor glucose control an...

0 Ashirwad Barnwal, et al. ∙

research

∙ 07/11/2022

A Lexicon and Depth-wise Separable Convolution Based Handwritten Text Recognition System

Cursive handwritten text recognition is a challenging research problem i...

0 Lalita Kumari, et al. ∙

research

∙ 05/23/2022

LexiconNet: An End-to-End Handwritten Paragraph Text Recognition System

Historical documents present in the form of libraries needs to be digiti...

0 Lalita Kumari, et al. ∙

research

∙ 04/17/2022

Synthetic Distracted Driving (SynDD1) dataset for analyzing distracted behaviors and various gaze zones of a driver

This article presents a synthetic distracted driving (SynDD1) dataset fo...

0 Mohammed Shaiqur Rahman, et al. ∙

research

∙ 12/02/2021

Newton methods based convolution neural networks using parallel processing

Training of convolutional neural networks is a high dimensional and a no...

0 Ujjwal Thakur, et al. ∙

research

∙ 11/17/2021

Automated Approach for Computer Vision-based Vehicle Movement Classification at Traffic Intersections

Movement specific vehicle classification and counting at traffic interse...

0 Udita Jana, et al. ∙

research

∙ 08/15/2021

HCR-Net: A deep learning based script independent handwritten character recognition network

Handwritten character recognition (HCR) is a challenging learning proble...

0 Vinod Kumar Chauhan, et al. ∙

research

∙ 08/09/2021

ndsintxn: An R Package for Extracting Information from Naturalistic Driving Data to Support Driver Behavior Analyses at Intersections

The use of naturalistic driving studies (NDSs) for driver behavior resea...

0 Ashirwad Barnwal, et al. ∙

research

∙ 04/14/2021

A Vision-based System for Traffic Anomaly Detection using Deep Learning and Decision Trees

Any intelligent traffic monitoring system must be able to detect anomali...

0 Armstrong Aboah, et al. ∙

research

∙ 04/08/2021

Sugar and Stops in Drivers with Insulin-Dependent Type 1 Diabetes

Diabetes is a major public health challenge worldwide. Abnormal physiolo...

0 Ashirwad Barnwal, et al. ∙

research

∙ 04/05/2021

A data-driven personalized smart lighting recommender system

Recommender systems attempts to identify and recommend the most preferab...

0 Atousa Zarindast, et al. ∙

research

∙ 01/16/2021

Big Data application in congestion detection and classification using Apache spark

With the era of big data, an explosive amount of information is now avai...

0 Atousa Zarindast, et al. ∙

research

∙ 05/05/2020

Deep convolutional generative adversarial networks for traffic data imputation encoding time series as images

Sufficient high-quality traffic data are a crucial component of various ...

0 Tongge Huang, et al. ∙

research

∙ 04/30/2020

The 4th AI City Challenge

The AI City Challenge was created to accelerate intelligent video analys...

0 Milind Naphade, et al. ∙

research

∙ 03/10/2020

Optimizations to the Parallel Breath First Search on Distributed Memory

Graphs and their traversal is becoming significant as it is applicable t...

0 Anuj Sharma, et al. ∙

research

∙ 11/14/2019

Deep Reinforcement Learning for Adaptive Traffic Signal Control

Many existing traffic signal controllers are either simple adaptive cont...

0 Kai Liang Tan, et al. ∙

research

∙ 05/31/2019

Driver Behavior Analysis Using Lane Departure Detection Under Challenging Conditions

In this paper, we present a novel model to detect lane regions and extra...

6 Luis Riera, et al. ∙

research

∙ 04/20/2019

LIBS2ML: A Library for Scalable Second Order Machine Learning Algorithms

LIBS2ML is a library based on scalable second order learning algorithms ...

0 Vinod Kumar Chauhan, et al. ∙

research

∙ 04/18/2019

A deep learning based solution for construction equipment detection: from development to deployment

This paper aims at providing researchers and engineering professionals w...

0 Saeed Arabi, et al. ∙

research

∙ 04/11/2019

Modified online Newton step based on element wise multiplication

The second order method as Newton Step is a suitable technique in Online...

0 Charnjeet Singh, et al. ∙

research

∙ 12/26/2018

Stochastic Trust Region Inexact Newton Method for Large-scale Machine Learning

Nowadays stochastic approximation methods are one of the major research ...

0 Vinod Kumar Chauhan, et al. ∙

research

∙ 10/26/2018

Online learning using multiple times weight updating

Online learning makes sequence of decisions with partial data arrival wh...

0 Charanjeet, et al. ∙

research

∙ 07/24/2018

SAAGs: Biased Stochastic Variance Reduction Methods

Stochastic optimization is one of the effective approach to deal with th...

0 Vinod Kumar Chauhan, et al. ∙

research

∙ 04/30/2018

A Cyberinfrastructure for BigData Transportation Engineering

Big Data-driven transportation engineering has the potential to improve ...

0 Md Johirul Islam, et al. ∙

research

∙ 01/18/2018

Faster Algorithms for Large-scale Machine Learning using Simple Sampling Techniques

Now a days, the major challenge in machine learning is the `Big Data' ch...

0 Vinod Kumar Chauhan, et al. ∙

research

∙ 11/13/2017

Bi-National Delay Pattern Analysis For Commercial and Passenger Vehicles at Niagara Frontier Border

Border crossing delays between New York State and Southern Ontario cause...

0 Zhenhua Zhang, et al. ∙

research

∙ 09/16/2013

Using Self-Organizing Maps for Sentiment Analysis

Web 2.0 services have enabled people to express their opinions, experien...

0 Anuj Sharma, et al. ∙

research

∙ 09/16/2013

A Neural Network based Approach for Predicting Customer Churn in Cellular Network Services

Marketing literature states that it is more costly to engage a new custo...

0 Anuj Sharma, et al. ∙

Anuj Sharma

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