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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...
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06/16/2023
Vision-Language Models can Identify Distracted Driver Behavior from Naturalistic Videos
Recognizing the activities, causing distraction, in real-world driving s...
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11/10/2022
Driver Maneuver Detection and Analysis using Time Series Segmentation and Classification
The current paper implements a methodology for automatically detecting v...
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09/11/2022
Lexicon and Attention based Handwritten Text Recognition System
The handwritten text recognition problem is widely studied by the resear...
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08/20/2022
Offline Handwritten Mathematical Recognition using Adversarial Learning and Transformers
Offline Handwritten Mathematical Expression Recognition (HMER) is a majo...
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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...
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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...
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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Historical documents present in the form of libraries needs to be digiti...
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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...
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12/02/2021
Newton methods based convolution neural networks using parallel processing
Training of convolutional neural networks is a high dimensional and a no...
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11/17/2021
Automated Approach for Computer Vision-based Vehicle Movement Classification at Traffic Intersections
Movement specific vehicle classification and counting at traffic interse...
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08/15/2021
HCR-Net: A deep learning based script independent handwritten character recognition network
Handwritten character recognition (HCR) is a challenging learning proble...
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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...
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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...
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04/08/2021
Sugar and Stops in Drivers with Insulin-Dependent Type 1 Diabetes
Diabetes is a major public health challenge worldwide. Abnormal physiolo...
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04/05/2021
A data-driven personalized smart lighting recommender system
Recommender systems attempts to identify and recommend the most preferab...
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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...
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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 ...
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04/30/2020
The 4th AI City Challenge
The AI City Challenge was created to accelerate intelligent video analys...
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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...
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11/14/2019
Deep Reinforcement Learning for Adaptive Traffic Signal Control
Many existing traffic signal controllers are either simple adaptive cont...
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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...
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04/20/2019
LIBS2ML: A Library for Scalable Second Order Machine Learning Algorithms
LIBS2ML is a library based on scalable second order learning algorithms ...
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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...
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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...
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12/26/2018
Stochastic Trust Region Inexact Newton Method for Large-scale Machine Learning
Nowadays stochastic approximation methods are one of the major research ...
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10/26/2018
Online learning using multiple times weight updating
Online learning makes sequence of decisions with partial data arrival wh...
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07/24/2018
SAAGs: Biased Stochastic Variance Reduction Methods
Stochastic optimization is one of the effective approach to deal with th...
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04/30/2018
A Cyberinfrastructure for BigData Transportation Engineering
Big Data-driven transportation engineering has the potential to improve ...
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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...
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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...
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09/16/2013
Using Self-Organizing Maps for Sentiment Analysis
Web 2.0 services have enabled people to express their opinions, experien...
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09/16/2013