Browsing by Author "BenSaid, Ahmed"
Now showing items 1-20 of 21
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A Deep Learning Spatiotemporal Prediction Framework for Mobile Crowdsourced Services
( Springer New York LLC , 2019 , Article)This papers presents a deep learning-based framework to predict crowdsourced service availability spatially and temporally. A novel two-stage prediction model is introduced based on historical spatio-temporal traces of ... -
A FCM and SURF based algorithm for segmentation of multispectral face images
( IEEE , 2013 , Conference Paper)In this paper, we propose a novel clustering algorithm based on Fuzzy C-Means (FCM) and Speeded-Up Robust Feature (SURF) for multispectral image segmentation. In the experiments, color images and multispectral images from ... -
A Probabilistic Approach for Maximizing Travel Journey WiFi Coverage Using Mobile Crowdsourced Services
( Institute of Electrical and Electronics Engineers Inc. , 2019 , Article)A public transport journey planning service often yields multiple alternative journeys plans to get from a source to a destination. In addition to journey preferences, such as connecting time and walking distance, passengers ... -
Cluster validity index based on Jeffrey divergence
( Springer London , 2017 , Article)Cluster validity indexes are very important tools designed for two purposes: comparing the performance of clustering algorithms and determining the number of clusters that best fits the data. These indexes are in general ... -
Cluster validity index based on n-sphere
( IEEE , 2014 , Conference Paper)In this paper, we propose a new cluster validity index (CVI) based on geometrical shape. Classic CVIs are based on a combination of separation and compactness measures and may include a measure of overlap between clusters. ... -
Dairy Cow Rumination Detection: A Deep Learning Approach
( Springer Science and Business Media Deutschland GmbH , 2020 , Conference Paper)Cattle activity is an essential index for monitoring health and welfare of the ruminants. Thus, changes in the livestock behavior are a critical indicator for early detection and prevention of several diseases. Rumination ... -
Deep learning approach for EEG compression in mHealth system
( Institute of Electrical and Electronics Engineers Inc. , 2017 , Conference Paper)The emergence of mobile health (mHealth) systems has risen the challenges and concerns due to the sensitivity of the data involved in such systems. It is essential to ensure that these data are well delivered to the health ... -
Edge guided total variation for image denoising
( Institute of Electrical and Electronics Engineers Inc. , 2017 , Conference Paper)In this paper, we present a novel denoising algorithm based on the Rodin-Osher-Fatemi (ROF) model. The goal is to ensure maximum noise removal while preserving image details. To achieve this goal, we developed a new edge ... -
Factors Affecting Student Satisfaction Towards Online Teaching: A Machine Learning Approach
( Springer Science and Business Media Deutschland GmbH , 2022 , Conference Paper)During the outbreak of the Covid-19 pandemic, universities were forced to adopt technology and collaboration tools to reinforce online teaching and sustain their operations. This radical change pushes universities, ... -
Federated Learning over Energy Harvesting Wireless Networks
( Institute of Electrical and Electronics Engineers Inc. , 2022 , Article)In this article, the deployment of federated learning (FL) is investigated in an energy harvesting wireless network in which the base stations (BSs) employs massive multiple-input-multiple-output (MIMO) to serve a set of ... -
Gravitational weighted fuzzy c-means with application on multispectral image segmentation
( Institute of Electrical and Electronics Engineers Inc. , 2015 , Conference Paper)This paper presents a novel clustering approach based on the classic Fuzzy c-means algorithm. The approach is inspired from the concept of interaction between objects in physics. Each data point is regarded as a particle. ... -
LIME: Long-Term Forecasting Model for Desalination Membrane Fouling to Estimate the Remaining Useful Life of Membrane
( Springer Science and Business Media Deutschland GmbH , 2023 , Conference Paper)Membrane fouling is one of the major problems in desalination processes as it can cause a severe drop in the quality and quantity of the permeate water. This paper presents a data-driven approach for long-term forecasting ... -
Mobile crowdsourced sensors selection for journey services
( Springer Verlag , 2018 , Conference Paper)We propose a mobile crowdsourced sensors selection approach to improve the journey planning service especially in areas where no wireless or vehicular sensors are available. We develop a location estimation model of journey ... -
Modified total variation regularization using fuzzy complement for image denoising
( IEEE Computer Society , 2016 , Conference Paper)In this paper, we propose a denoising algorithm based on the Total Variation (TV) model. Specifically, we associate to the regularization term of the Rodin-Osher-Fatimi (ROF) functional a small weight whenever denoising ... -
Multispectral image denoising with optimized vector non-local mean filter
( Elsevier Inc. , 2016 , Article)Nowadays, many applications rely on images of high quality to ensure good performance in conducting their tasks. However, noise goes against this objective as it is an unavoidable issue in most applications. Therefore, it ... -
Optimal Resource Management for Hierarchical Federated Learning over HetNets with Wireless Energy Transfer
( Institute of Electrical and Electronics Engineers Inc. , 2023 , Article)Remote monitoring systems analyze the environment dynamics in different smart industrial applications, such as occupational health and safety, and environmental monitoring. Specifically, in industrial Internet of Things ... -
Spatiotemporal Tensor Completion for Improved Urban Traffic Imputation
( Institute of Electrical and Electronics Engineers Inc. , 2022 , Article)Effective management of urban traffic is important for any smart city initiative. Therefore, the quality of the sensory traffic data is of paramount importance. However, like any sensory data, urban traffic data are prone ... -
Total Variation for Image Denoising Based on a Novel Smart Edge Detector: An Application to Medical Images
( Springer New York LLC , 2019 , Article)In medical imaging applications, diagnosis relies essentially on good quality images. Edges play a crucial role in identifying features useful to reach accurate conclusions. However, noise can compromise this task as it ... -
User Scheduling in Federated Learning over Energy Harvesting Wireless Networks
( Institute of Electrical and Electronics Engineers Inc. , 2021 , Conference Paper)In this paper, the deployment of federated learning (FL) is investigated in an energy harvesting wireless network in which the base station (BS) is equipped with a massive multiple-input multiple-output (MIMO) system and ... -
Using Deep Learning to Predict Stock Movements Direction in Emerging Markets: The Case of Qatar Stock Exchange
( Institute of Electrical and Electronics Engineers Inc. , 2020 , Conference Paper)Deep learning approaches have been utilized to predict stocks. In this study, we use convolutional neural network (CNN) to predict stocks direction in Qatar stock exchange (QE) as a case of emerging markets. Prediction in ...