Search Results - "Hedjam, Rachid"

Mean Deviation Similarity Index: Efficient and Reliable Full-Reference Image Quality Evaluator by Nafchi, Hossein Ziaei, Shahkolaei, Atena, Hedjam, Rachid, Cheriet, Mohamed

“…Applications of perceptual image quality assessment (IQA) in image and video processing, such as image acquisition, image compression, image restoration, and…”
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CorrC2G: Color to Gray Conversion by Correlation by Nafchi, Hossein Ziaei, Shahkolaei, Atena, Hedjam, Rachid, Cheriet, Mohamed

“…In this letter, a novel decolorization method is proposed to convert color images into grayscale. The proposed method, called CorrC2G, estimates the three…”
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Hybrid Deep Learning-Based Intrusion Detection System for RPL IoT Networks by Al Sawafi, Yahya, Touzene, Abderezak, Hedjam, Rachid

“…Internet of things (IoT) has become an emerging technology transforming everyday physical objects to be smarter by using underlying technologies such as sensor…”
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Change Detection in Unlabeled Optical Remote Sensing Data Using Siamese CNN by Hedjam, Rachid, Abdesselam, Abdelhamid, Melgani, Farid

“…In this article, we propose a new semisupervised method to detect the changes occurring in a geographical area after a major damage. We detect the changes by…”
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Using Machine Learning in Business Process Re-Engineering by Al-Anqoudi, Younis, Al-Hamdani, Abdullah, Al-Badawi, Mohamed, Hedjam, Rachid

“…A business process re-engineering value in improving the business process is undoubted. Nevertheless, it is incredibly complex, time-consuming and costly. This…”
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A Review of Radiomics in Predicting Therapeutic Response in Colorectal Liver Metastases: From Traditional to Artificial Intelligence Techniques by Alshohoumi, Fatma, Al-Hamdani, Abdullah, Hedjam, Rachid, AlAbdulsalam, AbdulRahman, Al Zaabi, Adhari

“…An early evaluation of colorectal cancer liver metastasis (CRCLM) is crucial in determining treatment options that ultimately affect patient survival rates and…”
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Trace-Norm Regularized Multi-Task Learning for Sea State Bias Estimation by Zhong, Guoqiang, Qu, Jianzhang, Wang, Haizhen, Liu, Benxiu, Jiao, Wencong, Fan, Zhenlin, Miao, Hongli, Hedjam, Rachid

“…Sea state bias (SSB) is an important component of errors for the radar altimeter measurements of sea surface height (SSH). However, existing SSB estimation…”
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Historical document image restoration using multispectral imaging system by Hedjam, Rachid, Cheriet, Mohamed

“…Thousands of valuable historical documents stored on the shelves of national libraries throughout the world are waiting to be scanned in order to facilitate…”
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NMF with feature relationship preservation penalty term for clustering problems by Hedjam, Rachid, Abdesselam, Abdelhamid, Melgani, Farid

“…•Add the relationship between the data scatter and that of the centroids to the cost function of the NMF model.•The update of W becomes parameterizable.•The…”
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Ensemble clustering using extended fuzzy k-means for cancer data analysis by Khan, Imran, Luo, Zongwei, Shaikh, Abdul Khalique, Hedjam, Rachid

“…•Extension of fuzzy k-means to generate feature subspaces.•Generation of input clusterings from feature subspace.•Ensemble method for ensemble…”
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X-ray image based COVID-19 detection using evolutionary deep learning approach by Jalali, Seyed Mohammad Jafar, Ahmadian, Milad, Ahmadian, Sajad, Hedjam, Rachid, Khosravi, Abbas, Nahavandi, Saeid

“…Radiological methodologies, such as chest x-rays and CT, are widely employed to help diagnose and monitor COVID-19 disease. COVID-19 displays certain…”
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Weak Edge Identification Network for Ocean Front Detection by Li, Qingyang, Zhong, Guoqiang, Xie, Cui, Hedjam, Rachid

“…Ocean fronts have an important influence on global ocean-atmosphere interactions and marine fishery. Hence, it is of great significance to obtain the positions…”
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Historical documents dating using multispectral imaging and ordinal classification by Rahiche, Abderrahmane, Hedjam, Rachid, Al-maadeed, Somaya, Cheriet, Mohamed

“…The estimation of the age of undated old manuscripts is one of the most challenging and controversial tasks in the field of historical document analysis…”
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Behaviors of first-order optimizers in the context of sparse data and sparse models: A comparative study by Bouanane, Khadra, Dokkar, Basma, Allaoui, Mbarka, Meddour, Bouthayna, Kherfi, Mohammed Lamine, Hedjam, Rachid

“…The optimization algorithm plays a decisive role in the performance of deep learning models. Nevertheless, the task, the data properties, and the model's…”
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Influence of Color-to-Gray Conversion on the Performance of Document Image Binarization: Toward a Novel Optimization Problem by Hedjam, Rachid, Nafchi, Hossein Ziaei, Kalacska, Margaret, Cheriet, Mohamed

“…This paper presents a novel preprocessing method of color-to-gray document image conversion. In contrast to the conventional methods designed for natural…”
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A spatially adaptive statistical method for the binarization of historical manuscripts and degraded document images by Hedjam, Rachid, Moghaddam, Reza Farrahi, Cheriet, Mohamed

“…In this paper, we present an adaptive method for the binarization of historical manuscripts and degraded document images. The proposed approach is based on…”
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Genetic robust kernel sample selection for chemometric data analysis by Douak, Fouzi, Ghoggali, Noureddine, Hedjam, Rachid, Mekhalfi, Mohamed Lamine, Benoudjit, Nabil, Melgani, Farid

“…In this work, we propose a new algorithm to improve existing techniques used in the field of spectroscopic data regression analysis. In particular, it combines…”
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A learning framework for the optimization and automation of document binarization methods by Cheriet, Mohamed, Farrahi Moghaddam, Reza, Hedjam, Rachid

“…[Display omitted] ► A framework to obtain optimal values for binarization methods. ► A feature extraction method for document image based statistics of their…”
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Iterative Classifiers Combination Model for Change Detection in Remote Sensing Imagery by Hedjam, Rachid, Kalacska, Margaret, Mignotte, Max, Ziaei Nafchi, Hossein, Cheriet, Mohamed

“…In this paper, we propose a new unsupervised change detection method designed to analyze multispectral remotely sensed image pairs. It is formulated as a…”
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Gabor filter-based texture for ancient degraded document image binarization by Sehad, Abdenour, Chibani, Youcef, Hedjam, Rachid, Cheriet, Mohamed

“…Binarization of ancient degraded document images is a very important step for their preservation and digital use. In this paper, a new simple threshold-based…”
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