activity
20152025
most citedWireless Sensors Networks for Internet of Things

115 citations · 129 across the 9 of their papers we have counts for

collaborators

9 papers

cs.CY2025

Using Socio-economic Indicators, Smart Transit Systems, and Urban Simulator to Accelerate ZEV Adoption and Reduce VMT

Mulham Fawakherji, Bruce Race, Driss Benhaddou

Globally, on-road transportation accounts for 15% of greenhouse gas (GHG) emissions and an estimated 385,000 premature deaths from PM2.5. Cities play a critical role in meeting IPC…

cs.CV2024

M18K: A Comprehensive RGB-D Dataset and Benchmark for Mushroom Detection and Instance Segmentation

Abdollah Zakeri, Mulham Fawakherji, Jiming Kang +5

Automating agricultural processes holds significant promise for enhancing efficiency and sustainability in various farming practices. This paper contributes to the automation of ag…

cs.AI2021★ 4 cited

Intelligent Building Control Systems for Thermal Comfort and Energy-Efficiency: A Systematic Review of Artificial Intelligence-Assisted Techniques

Ghezlane Halhoul Merabet, Mohamed Essaaidi, Mohamed Ben Haddou +6

Building operations represent a significant percentage of the total primary energy consumed in most countries due to the proliferation of Heating, Ventilation and Air-Conditioning…

eess.SP2020★ 1 cited

Artificial Intelligence-Assisted Energy and Thermal Comfort Control for Sustainable Buildings: An Extended Representation of the Systematic Review

Ghezlane Halhoul Merabet, Mohamed Essaaidi, Mohamed Ben-Haddou +6

Different factors such as thermal comfort, humidity, air quality, and noise have significant combined effects on the acceptability and quality of the activities performed by the bu…

cs.CY2019★ 3 cited

Leveraging Machine Learning and Big Data for Smart Buildings: A Comprehensive Survey

Basheer Qolomany, Ala Al-Fuqaha, Ajay Gupta +4

Future buildings will offer new convenience, comfort, and efficiency possibilities to their residents. Changes will occur to the way people live as technology involves into people'…

cs.AI2017

Role of Deep LSTM Neural Networks And WiFi Networks in Support of Occupancy Prediction in Smart Buildings

Basheer Qolomany, Ala Al-Fuqaha, Driss Benhaddou +1

Knowing how many people occupy a building, and where they are located, is a key component of smart building services. Commercial, industrial and residential buildings often incorpo…