4 citations · 16 across the 12 of their papers we have counts for
14 papers
MotoSafety: Edge-AI with Learned Temporal Importance for Two-Wheeler Collision Risk Assessment Under Time Pressure
Sumit S. Shevtekar, Chandresh K. Maurya, Gourab Sil +1
Powered two-wheeler riders face critical safety challenges in low- and middle-income countries, yet limited studies exist on how cognitive stressors such as Time Pressure influence…
RhyMix: A Lightweight Adaptive Multi-Rhythm Network for Long-Term Time Series Forecasting
Sumit Satishrao Shevtekar, Chandresh Kumar Maurya
Real-world time series exhibit complex dynamics characterized by multiple simultaneous temporal patterns: short-term fluctuations, periodic seasonal cycles, long-term trends, and i…
Predicting Time Pressure of Powered Two-Wheeler Riders for Proactive Safety Interventions
Sumit S. Shevtekar, Chandresh K. Maurya, Gourab Sil
Time pressure critically influences risky maneuvers and crash proneness among powered two-wheeler riders, yet its prediction remains underexplored in intelligent transportation sys…
MSTN: A Lightweight and Fast Model for General TimeSeries Analysis
Sumit S Shevtekar, Chandresh K Maurya
Real-world time series often exhibit strong non-stationarity, complex nonlinear dynamics, and behavior expressed across multiple temporal scales, from rapid local fluctuations to s…
Improving Bird Classification with Primary Color Additives
Ezhini Rasendiran R, Chandresh Kumar Maurya
We address the problem of classifying bird species using their song recordings, a challenging task due to environmental noise, overlapping vocalizations, and missing labels. Existi…
End-to-End Speech-to-Text Translation: A Survey
Nivedita Sethiya, Chandresh Kumar Maurya
Speech-to-text translation pertains to the task of converting speech signals in a language to text in another language. It finds its application in various domains, such as hands-f…
Deep Learning Architecture for Automatic Essay Scoring
Tsegaye Misikir Tashu, Chandresh Kumar Maurya, Tomas Horvath
Automatic evaluation of essay (AES) and also called automatic essay scoring has become a severe problem due to the rise of online learning and evaluation platforms such as Coursera…
Anomaly Detection in Big Data
Chandresh Kumar Maurya
Anomaly is defined as a state of the system that do not conform to the normal behavior. For example, the emission of neutrons in a nuclear reactor channel above the specified thres…
How Effective is Incongruity? Implications for Code-mix Sarcasm Detection
Aditya Shah, Chandresh Kumar Maurya
The presence of sarcasm in conversational systems and social media like chatbots, Facebook, Twitter, etc. poses several challenges for downstream NLP tasks. This is attributed to t…
FiLMing Multimodal Sarcasm Detection with Attention
Sundesh Gupta, Aditya Shah, Miten Shah +2
Sarcasm detection identifies natural language expressions whose intended meaning is different from what is implied by its surface meaning. It finds applications in many NLP tasks s…
An Intelligent Recommendation-cum-Reminder System
Rohan Saxena, Maheep Chaudhary, Chandresh Kumar Maurya +1
Intelligent recommendation and reminder systems are the need of the fast-pacing life. Current intelligent systems such as Siri, Google Assistant, Microsoft Cortona, etc., have limi…
Digital Contact Tracing for Covid 19
Chandresh Kumar Maurya, Seemandhar Jain, Vishal Thakre
The COVID19 pandemic created a worldwide emergency as it is estimated that such a large number of infections are due to human-to-human transmission of the COVID19. As a necessity,…
Online Similarity Learning with Feedback for Invoice Line Item Matching
Chandresh Kumar Maurya, Neelamadhav Gantayat, Sampath Dechu +1
The procure to pay process (P2P) in large enterprises is a back-end business process which deals with the procurement of products and services for enterprise operations. Procuremen…
Online Anomaly Detection via Class-Imbalance Learning
Chandresh Kumar Maurya, Durga Toshniwal, Gopalan Vijendran Venkoparao
Anomaly detection is an important task in many real world applications such as fraud detection, suspicious activity detection, health care monitoring etc. In this paper, we tackle…