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Faouzi Alaya Cheikh

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Associate Professor

NTNU Fakultet for ingeniorvitenskap og teknologi Trondheim

Norway

Research Interests

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Professors in Norway Professors in Medical Imaging Medical Imaging professors in Norway

About

Professor Faouzi Alaya Cheikh is a faculty member at NTNU Fakultet for Ingeniørvitenskap og Teknologi in Trondheim, Norway. His research spans various areas including autonomous vehicle motion planning, deep learning for image classification, and Internet of Things applications in healthcare. Recent publications highlight his contributions to innovative methods in data prediction, facial expression recognition, and polyp segmentation.

Recent Grants

Grant: Close

Cheikh, Faouzi Alaya. Norsk spesialist til Kina 2009

Open Date: 2009-11-12

Close Date: 2009-11-22

Articles (21)

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Collaborators (7)

Nishu Gupta

Research Scientist

VTT Technical Research Centre of Finland

FINLAND

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Mohammad Derawi

Norwegian University of Science and Technology

NORWAY

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Andrii Shalaginov

Associate Professor

Norwegian University of Science and Technology

NORWAY

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Khan Muhammad

Associate Professor (Tenure-Track)

Sungkyunkwan University

SOUTH KOREA

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Fadi Al Machot

Associate Professor

Norwegian University of Life Sciences

NORWAY

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Azeddine Beghdadi

Professor

Sorbonne Université

FRANCE

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Joaquin Olivares

SPAIN

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Faouzi Alaya Cheikh

Research Interests

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About

Recent Grants

Articles (21)

Distortion Classification in Computer Vision Applications: Current Progress, Challenges, and Perspectives

PROXIMAL POLICY OPTIMIZATION FOR COLLISION AVOIDANCE AND MOTION PLANNING IN AUTONOMOUS VEHICLES: A MATHEMATICAL MODELING PERSPECTIVE

Deep Learning-Based Models for Paddy Disease Classification and Segmentation: An Experimental Review

Extrapolation Convolution for Data Prediction on a 2-D Grid: Bridging Spatial and Frequency Domains With Applications in Image Outpainting and Compressed Sensing

IoT-Driven Facial Expression Recognition for Personalized Healthcare in Industry 5.0

Dual Encoder–Decoder Shifted Window-Based Transformer Network for Polyp Segmentation With Self-Learning Approach

Smoke veil prior regularized surgical field desmoking without paired in-vivo data

A Simple Framework for Depth-Augmented Contrastive Learning for Endoscopic Image Classification

CentralFormer: Centralized Spectral-Spatial Transformer for Hyperspectral Image Classification With Adaptive Relevance Estimation and Circular Pooling

Deepview: Deep-Learning-Based Users Field of View Selection in 360° Videos for Industrial Environments

LPWAN Cyber Security Risk Analysis: Building a Secure IQRF Solution

Efficient Human Gait Activity Recognition Based on Sensor Fusion and Intelligent Stacking Framework

An Exploration on the Influence Factors of the Optimal Sample Width for Hyperspectral Remote Sensing Image Classification

Indoor Propagation Analysis of IQRF Technology for Smart Building Applications

Convolutional Neural Networks for Omnidirectional Image Quality Assessment: A Benchmark

Propagation Measurements for IQRF Network in an Urban Environment

A Novel Architectural Framework on IoT Ecosystem, Security Aspects and Mechanisms: A Comprehensive Survey

S3AM: A Spectral-Similarity-Based Spatial Attention Module for Hyperspectral Image Classification

Cross-Modality Guided Contrast Enhancement for Improved Liver Tumor Image Segmentation

TCM: Temporal Consistency Model for Head Detection in Complex Videos

Reflected Light Intensity-Modulated Continuous Liquid Level Sensor Based on Oblique End Face Coupling Optical Fibers

Collaborators (7)

Nishu Gupta

Mohammad Derawi

Andrii Shalaginov

Khan Muhammad

Fadi Al Machot

Azeddine Beghdadi

Joaquin Olivares

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