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Widad Elouataoui, Imane El Alaoui, Saida El Mendili and Youssef Gahi
While big data benefits are numerous, the use of big data requires, however, addressing new challenges related to data processing, data security, and especially degradation of data quality. Despite the increased importance of data quality for big data, d...
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Henning Schnoor and Wilhelm Hasselbring
Coupling metrics that count the number of inter-module connections in a software system are an established way to measure internal software quality with respect to modularity. In addition to static metrics, which are obtained from the source or compiled ...
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Grayson M. Talaski, Anthony N. Baumann, Albert T. Anastasio, Kempland C. Walley and Cesar de Cesar Netto
Motion-preserving options for the treatment of first metatarsophalangeal (MTP) osteoarthritis are appealing, but the conversion to arthrodesis in failed cases comes with additional challenges. Loss of first ray length may not only lower arthrodesis succe...
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Juan Miguel Sánchez-Lozano, Eloy Peña-Asensio and Hector Socas-Navarro
This study presents the implementation of Multi-Criteria Decision-Making (MCDM) methodologies, particularly the fuzzy technique for order of preference by similarity to ideal solution (TOPSIS), in prioritizing technosignatures (TSs) for the search for ex...
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Yuanyou Ou and Baoning Niu
The dual-channel graph collaborative filtering recommendation algorithm (DCCF) suppresses the over-smoothing problem and overcomes the problem of expansion in local structures only in graph collaborative filtering. However, DCCF has the following problem...
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Imane Zaimi, Abdelali Boushaba, Mohammed Oumsis, Brahim Jabir, Moulay Hafid Aabidi and Adil EL Makrani
Reducing transmission traffic delay is one of the most important issues that need to be considered for routing protocols, especially in the case of multimedia applications over vehicular ad hoc networks (VANET). To this end, we propose an extension of th...
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Ping Huang and Yafeng Wu
Airborne speech enhancement is always a major challenge for the security of airborne systems. Recently, multi-objective learning technology has become one of the mainstream methods of monaural speech enhancement. In this paper, we propose a novel multi-o...
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Dariush Ashtab, Mehdi Gholamalifard, Parviz Jokar, Andrey G. Kostianoy and Aleksander V. Semenov
Protected areas are referred to around the world as the basis of conservation strategies. Designation of marine protected areas (MPAs) is to preserve marine biodiversity and protect species, habitats in the seas, and oceans. The simulated annealing algor...
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Alessio Marrone, Maria Cristina Mangano, Alan Deidun, Manuel Berlino and Gianluca Sarà
Habitat fragmentation (HF) is an ecological process, which is potentially also one of the main causes of diversity loss. Many studies have debated the best tools to adopt for assessing the effects of HF. The traditional application of biodiversity metric...
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Jianyong Zhang, Yanling Zhao, Zhenqi Hu and Wu Xiao
Rapid estimation of above-ground biomass (AGB) with high accuracy is essential for monitoring crop growth status and predicting crop yield. Recently, remote sensing techniques using unmanned aerial systems (UASs) have exhibited great potential in obtaini...
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Jan Sawicki, Maria Ganzha, Marcin Paprzycki and Yutaka Watanobe
As the largest open social medium on the Internet, Reddit is widely studied in the scientific literature. Due to its structured form and division into topical subfora (subreddits), conducted research often concerns connections and interactions between us...
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Qaisar Abbas, Talal Saad Albalawi, Ganeshkumar Perumal and M. Emre Celebi
In recent years, advances in deep learning (DL) techniques for video analysis have developed to solve the problem of real-time processing. Automated face recognition in the runtime environment has become necessary in video surveillance systems for urban ...
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Jeong Seong, Yunsik Kim, Hyewon Goh, Hyunmin Kim and Ana Stanescu
Quantifying traffic congestion is a critical task for transportation planning and research. Numerous metrics have been developed, mainly focusing on changes in vehicle speeds, their extents, and travel time. In this study, new metrics are presented using...
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Mohd Asif Hajam, Tasleem Arif, Akib Mohi Ud Din Khanday and Mehdi Neshat
Accurate and efficient medicinal plant image classification is of utmost importance as these plants produce a wide variety of bioactive compounds that offer therapeutic benefits. With a long history of medicinal plant usage, different parts of plants, su...
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Melissa Penagos Gaviria, Zaneta Kaszta and Mohammad S. Farhadinia
Human activities can degrade landscape connectivity and disrupt ecological flows, jeopardising the functional integrity of processes. This study presents a quantitative assessment of Asia?s protected areas? (PAs) structural connectivity using landscape m...
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Zimo Wang, Yicheng Wang, Sensen Wu and Zhenhong Du
Confronted with the spatial heterogeneity of the real estate market, some traditional research has utilized geographically weighted regression (GWR) to estimate house prices. However, its predictive power still has some room to improve, and its kernel fu...
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Mesfer Al Duhayyim, Eatedal Alabdulkreem, Khaled Tarmissi, Mohammed Aljebreen, Bothaina Samih Ismail Abou El Khier, Abu Sarwar Zamani, Ishfaq Yaseen and Mohamed I. Eldesouki
Video surveillance in smart cities provides efficient city operations, safer communities, and improved municipal services. Object detection is a computer vision-based technology, which is utilized for detecting instances of semantic objects of a specific...
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Daniela Stroppiana, Gloria Bordogna, Matteo Sali, Mirco Boschetti, Giovanna Sona and Pietro Alessandro Brivio
The paper proposes a fully automatic algorithm approach to map burned areas from remote sensing characterized by human interpretable mapping criteria and explainable results. This approach is partially knowledge-driven and partially data-driven. It explo...
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Lenuta Pana, Simona Moldovanu, Nilanjan Dey, Amira S. Ashour and Luminita Moraru
Background: The purpose of this article is to provide a new evaluation tool based on skeleton maps to assess the tumoral and non-tumoral regions of the 2D MRI in PD-weighted (proton density) and T2w (T2-weighted type) brain images. Methods: The proposed ...
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Roberta Fusco, Vincenza Granata, Mario Sansone, Robert Grimm, Paolo Delrio, Daniela Rega, Fabiana Tatangelo, Antonio Avallone, Nicola Raiano, Giuseppe Totaro, Vincenzo Cerciello, Biagio Pecori and Antonella Petrillo
Purpose: The aim of the study is to evaluate the potential of Intravoxel incoherent motion model of diffusion weighted imaging (DWI) and diffusion kurtosis imaging (DKI) in the differentiation of local colorectal cancer recurrence (LCR) from scar/fibrosi...
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