◍wovepaper
SearchResearchersInstitutions
Sign in
researcher

Muhammad Muzammel

2 papers here

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author1
  • last author1

Across the 2 of 2 papers where every author was matched, so the position is known.

fields
  • cs.CV1
  • cs.HC1
ORCID 0000-0003-3479-0840

identity via Semantic Scholar / OpenAlex

most citedBlind-Spot Collision Detection System for Commercial Vehicles Using Multi Deep CNN Architecture

21 citations · 21 across the 2 of their papers we have counts for

collaborators

2 papers

cs.HC2023

An Ambient Intelligence-based Approach For Longitudinal Monitoring of Verbal and Vocal Depression Symptoms

Alice Othmani, Muhammad Muzammel

Automatic speech recognition (ASR) technology can aid in the detection, monitoring, and assessment of depressive symptoms in individuals. ASR systems have been used as a tool to an…

cs.CV2022★ 21 cited

Blind-Spot Collision Detection System for Commercial Vehicles Using Multi Deep CNN Architecture

Muhammad Muzammel, Mohd Zuki Yusoff, Mohamad Naufal Mohamad Saad +2

Buses and heavy vehicles have more blind spots compared to cars and other road vehicles due to their large sizes. Therefore, accidents caused by these heavy vehicles are more fatal…

◍wovepaper

Papers, researchers and institutions, woven together.

Explore
  • Search
  • Researchers
  • Institutions
Account
  • Library
  • Chat
Data
  • arXiv.org
  • Semantic Scholar
  • OpenAlex
  • Latest RSS
AboutContactPrivacyDevelopersllms.txtopenapi.json
Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.