Article
Geochemistry & Geophysics
N. D'Agostino, A. Copley, J. Jackson, R. Koci, A. Hajrullai, L. Duni, N. Kuka
Summary: This paper investigates the kinematics and dynamics of the western Balkans, including seismic activity, geomorphological evolution, and the influence of gravitational potential energy contrasts on overall deformation. The regional motion patterns and evolutionary characteristics are inferred through observational data and geomorphological observations.
GEOPHYSICAL JOURNAL INTERNATIONAL
(2022)
Article
Geochemistry & Geophysics
Hasbi Ash Shiddiqi, Lars Ottemoller, Stephane Rondenay, Susana Custodio, Vineet K. Gahalaut, Rajeev K. Yadav, Felix Halpaap, Kalpna Gahalaut
Summary: Seismic swarms along the coast of Nordland, Norway have been observed for over 40 years, but the detailed spatio-temporal evolution and mechanisms have not been fully understood due to limited seismic station coverage. With an increased number of stations, researchers have studied a decade-long sequence of swarms in the Jektvik area from 2013 to 2021. The analysis revealed four major groups of seismic events, each with distinct spatial and temporal characteristics. The swarms are believed to be caused by reactivation of fluid-saturated fracture zones due to local extension.
GEOPHYSICAL JOURNAL INTERNATIONAL
(2023)
Article
Geochemistry & Geophysics
J. N. Williams, M. J. Werner, K. Goda, L. N. J. Wedmore, R. De Risi, J. Biggs, H. Mdala, Z. Dulanya, A. Fagereng, F. Mphepo, P. Chindandali
Summary: Historical and instrumental earthquake catalogs may not accurately reflect the long-term distribution of seismicity in low strain rate regions. Therefore, probabilistic seismic hazard analysis (PSHA) should consider geologic and geodetic data to incorporate fault-based seismogenic sources. The study explores these issues in the context of a new PSHA for Malawi, which has a thick seismogenic layer and a growing exposure to seismic hazard. The results emphasize the importance of careful fault source modeling in PSHA and the need for new fault-based PSHA in the East Africa Rift.
GEOPHYSICAL JOURNAL INTERNATIONAL
(2023)
Article
Geochemistry & Geophysics
Marion Baques, Louis De Barros, Maxime Godano, Clara Duverger, Herve Jomard
Summary: The Ubaye Region in the French Western Alps is one of the most seismically active regions in France, experiencing mainshock-aftershock sequences, seismic swarms, and complex sequences. In this study, a regional catalogue of existing focal mechanisms is compiled, and 100 new calculated focal mechanisms of aftershocks following a mainshock in 2014 are added. The results suggest that fluid pressure is a common triggering mechanism for the seismic activity in the region.
GEOPHYSICAL JOURNAL INTERNATIONAL
(2023)
Article
Geochemistry & Geophysics
Wasja Bloch, Sabrina Metzger, Bernd Schurr, Xiaohui Yuan, Lothar Ratschbacher, Sanaa Reuter, Qiang Xu, Junmeng Zhao, Shokhruhk Murodkulov, Ilhomjon Oimuhammadzoda
Summary: A sequence of strong earthquakes (M(W) 7.2, 6.4, 6.6) occurred in the Pamir of Central Asia from 2015 to 2017. These earthquakes provided unprecedented detail about the tectonic structures in the Pamir region, including thrusts, strike-slip faults, and normal faults. The aftershock triggering occurred on favorably oriented faults within a distance of <= 90 km.
GEOPHYSICAL JOURNAL INTERNATIONAL
(2023)
Article
Geochemistry & Geophysics
Taco Broerse, Nemanja Krstekanic, Cor Kasbergen, Ernst Willingshofer
Summary: The article discusses the application of Particle Image Velocimetry (PIV) in simulating geological deformation processes, focusing on the development of strain tensors and qualitative description of large shape changes. Combining Hencky strains is found to provide a meaningful classification of large 2-D strains, accurately mapping deformation in analogue models of lithospheric deformation.
GEOPHYSICAL JOURNAL INTERNATIONAL
(2021)
Article
Geochemistry & Geophysics
P. Papadimitriou, V Kapetanidis, A. Karakonstantis, I Spingos, K. Pavlou, G. Kaviris, I Kassaras, V Sakkas, N. Voulgaris
Summary: The characteristics of the M-w = 6.7 earthquake that occurred near Zakynthos Island, Greece in October 2018 were thoroughly examined, revealing strong spatial clustering of aftershocks in the northern and southern regions, potentially related to plate tectonics.
GEOPHYSICAL JOURNAL INTERNATIONAL
(2021)
Article
Geochemistry & Geophysics
Yingfeng Zhang, Xinjian Shan, Wenyu Gong, Guohong Zhang
Summary: The paper quantitatively demonstrates the main reason for the ambiguous InSAR-based models and identifies that the key to differentiate between these models is to resolve the small asymmetry in surface deformation patterns. Research shows that it is impossible to uniquely determine the dip orientation of thrust earthquakes with M-w < 6.0 and depth > 5.0 km using InSAR data at typical noise levels in mountain belts.
GEOPHYSICAL JOURNAL INTERNATIONAL
(2021)
Article
Geosciences, Multidisciplinary
Wang-Ping Chen
Summary: The article summarizes the spatial patterns of seismic faulting in northeastern Asia, identifying the characteristics of active deformation in the region and analyzing the seismic activity in different areas.
EARTH-SCIENCE REVIEWS
(2021)
Article
Geochemistry & Geophysics
Maria Mesimeri, Athanassios Ganas, Kristine L. Pankow
Summary: A seismic crisis occurred in the western Corinth Gulf offshore Marathias from December 23, 2020, lasting several months and generating thousands of small magnitude earthquakes. The seismic activity migrated from west to east, with an increase in Vp/Vs values for each earthquake cluster. The clusters also contained short interevent time, repeating earthquakes, possibly related to aseismic slip or fluid migration.
GEOPHYSICAL JOURNAL INTERNATIONAL
(2022)
Article
Geochemistry & Geophysics
Michael Gunnels, Gurban Yetrimishli, Sabina Kazimova, Eric Sandvol
Summary: Through high-resolution 3-D seismic velocity models and a relocated earthquake catalogue, we observed the seismic activity and velocity structure characteristics in Azerbaijan. The seismic hypocenters cluster into two depth ranges, with intermediate depth seismicity beneath the Kura Basin. Significant variation in seismic velocities was also noted, with the structure of the Kura Basin reflecting that of the Caspian Sea, suggesting a continuation of the Caspian geodynamics into Azerbaijan.
GEOPHYSICAL JOURNAL INTERNATIONAL
(2021)
Article
Geochemistry & Geophysics
E. Crowder, N. Rawlinson, D. G. Cornwell, C. Sammarco, E. Galetti, A. Curtis
Summary: The deep crustal structure beneath the North Sea is poorly understood but the mid to lower crust plays important roles in rift initiation and evolution. Ancient tectonic features exist beneath the North Sea, making it an ideal location to investigate regional heterogeneity and rifting interactions.
GEOPHYSICAL JOURNAL INTERNATIONAL
(2021)
Article
Geochemistry & Geophysics
Aisling O'Kane, Alex Copley
Summary: Rapid urban growth has increased population density in foreland basins, leading to higher earthquake risk. Seismic wave propagation in these areas is mainly controlled by source depth and basin structure. Matching basin depth with dominant wavelength results in maximum ground motion.
GEOPHYSICAL JOURNAL INTERNATIONAL
(2021)
Article
Geosciences, Multidisciplinary
Christopher Saebo Serck, Alvar Braathen, Snorre Olaussen, Per Terje Osmundsen, Ivar Midtkandal, Anna Elisabeth van Yperen, Kjetil Indrevaer
Summary: The Bandar Jissah Basin in southeast of Muscat, Oman, exhibits a transition from supradetachment to rift basin setting, with sediment sourced from the Semail Ophiolite and Saih Hatat window. The sedimentary facies belts in the basin include alluvial fan conglomerates, braidplain, mouth bar, shoreface and carbonate ramp deposits.
Article
Geochemistry & Geophysics
Matteo Taroni, Jacopo Selva
Summary: In this article, a simple model based on global centroid moment tensor catalog is proposed to forecast global focal mechanisms, which shows satisfactory predictive ability in hindcasting against independent data. The defined testing procedure can be used for prospective testing against future events, providing valuable information for short- to long-term hazard quantifications and real-time source inversion algorithms.
SEISMOLOGICAL RESEARCH LETTERS
(2021)
Article
Computer Science, Cybernetics
Sami Bourouis, Nizar Bouguila
Summary: In this paper, a robust framework based on expectation propagation (EP) inference is proposed to learn inverted Beta-Liouville (IBL) mixture models, which are suitable for positive data classification. Extensive experiments demonstrate the superior performance of our approach compared to comparable techniques.
CYBERNETICS AND SYSTEMS
(2023)
Article
Computer Science, Artificial Intelligence
Poongodi Manoharan, Ranjan Walia, Celestine Iwendi, Tariq Ahamed Ahanger, S. T. Suganthi, M. M. Kamruzzaman, Sami Bourouis, Wajdi Alhakami, Mounir Hamdi
Summary: Machine learning is susceptible to attacks, as intruders can exploit malicious nodes to attack the training dataset and degrade the overall efficiency and performance of the system. This research paper proposes a novel system for poisoning attacks on machine learning training datasets, which includes genuine data points that reduce classifier accuracy during training. The proposed system, consisting of a Generative Adversarial Networks (GAN) generator, discriminator, and target classifier, allows for easy detection of vulnerabilities and realistic attacks on areas with a higher possibility of poisoning attacks. Experimental results demonstrate the effectiveness of the proposed model in compromising classifiers that utilize machine learning algorithms and deep learning networks.
Article
Geosciences, Multidisciplinary
M. P. Panning, W. B. Banerdt, C. Beghein, S. Carrasco, S. Ceylan, J. F. Clinton, P. Davis, M. Drilleau, D. Giardini, A. Khan, D. Kim, B. Knapmeyer-Endrun, J. Li, P. Lognonne, S. C. Staehler, G. Zenhaeusern
Summary: Prior to the 2018 landing of the InSight mission, the InSight science team proposed an approach to locate Marsquakes using multiple orbit surface waves, independent of seismic velocity models. On May 4, 2022, the largest Marsquake, S1222a M(W)4.7, was recorded, providing an opportunity to test this method. Through the analysis of group arrivals of Rayleigh waves, the distance, timing, and epicenter of the Marsquake were determined. The results agreed with previous measurements and enhanced our confidence in locating Marsquakes.
GEOPHYSICAL RESEARCH LETTERS
(2023)
Article
Automation & Control Systems
Wahidul Hasan Abir, Faria Rahman Khanam, Kazi Nabiul Alam, Myriam Hadjouni, Hela Elmannai, Sami Bourouis, Rajesh Dey, Mohammad Monirujjaman Khan
Summary: Deepfake technology, created with the help of artificial intelligence and machine learning, is causing significant harm to society. This study proposes the use of deep learning methods for detecting deepfakes and analyzes the results using the Local Interpretable Model-Agnostic Explanations (LIME) algorithm to ensure validity and reliability.
INTELLIGENT AUTOMATION AND SOFT COMPUTING
(2023)
Article
Computer Science, Information Systems
Asif Ali Laghari, Abdullah Ayub Khan, Reem Alkanhel, Hela Elmannai, Sami Bourouis
Summary: This paper discusses the development of the Internet of Vehicles (IoV) and the challenges it faces, and proposes a blockchain-based modular architecture for protected and secure execution and service delivery. It also introduces a smart contract-enabled data structure for streamlined transactions. The simulation results show the effectiveness of the proposed architecture.
Article
Mathematics
Shahzad Zaheer, Nadeem Anjum, Saddam Hussain, Abeer D. D. Algarni, Jawaid Iqbal, Sami Bourouis, Syed Sajid Ullah
Summary: Financial data, particularly time series data, offer valuable information for data analysis, especially in forecasting stock prices, which remains a challenging task due to noise, non-linearity, and volatility. Previous studies primarily focused on a single stock parameter, such as the close price. This study presents a hybrid deep-learning forecasting model that predicts both the close and high prices of stocks for the next day based on input stock data. Experimental results on the Shanghai Composite Index (000001) demonstrate the superiority of a suggested single Layer RNN model compared to existing methods, with an improvement of 2.2%, 0.4%, 0.3%, 0.2%, and 0.1%. These findings validate the effectiveness of the proposed model in assisting investors to make profitable decisions.
Article
Computer Science, Artificial Intelligence
Xiao Yang, Rui Wang, Dong Zhao, Fanhua Yu, Chunyu Huang, Ali Asghar Heidari, Zhennao Cai, Sami Bourouis, Abeer D. Algarni, Huiling Chen
Summary: The sine cosine algorithm (SCA) is a well-known optimization algorithm that has gained attention for its simple structure and excellent optimization capabilities. To overcome the limitations of the original SCA, a modified variant called ARSCA is proposed, which incorporates adaptive quadratic interpolation mechanism and rounding mechanism. Experimental results demonstrate that ARSCA outperforms its competitors in terms of solution quality and ability to escape local optima.
EXPERT SYSTEMS WITH APPLICATIONS
(2023)
Article
Geosciences, Multidisciplinary
S. Menina, L. Margerin, T. Kawamura, G. Heller, M. Drilleau, Z. Xu, M. Calvet, R. F. Garcia, B. Knapmeyer-Endrun, S. Carrasco, K. Onodera, P. Lognonne, A. Stott, W. B. Banerdt
Summary: We modeled the high-frequency seismogram envelopes of large event S1222a and four near impacts recorded by the InSight mission by introducing velocity and attenuation stratification. A simple conceptual model consisting of a diffusive, weakly attenuating layer overlying a transparent medium captures the essential features of the observed envelopes. The attenuation profiles suggest minimal heterogeneities extension at depths of about 20 km near InSight and 60 km on the path to S1222a, indicating the Martian crust as the origin of strong scattering. Our heterogeneity model suggests that the sources of distant Very-high-Frequency seismic events are located shallow and to the south or in close vicinity of the Martian dichotomy.
GEOPHYSICAL RESEARCH LETTERS
(2023)
Article
Computer Science, Information Systems
Sami Bourouis, Nizar Bouguila
Summary: In this paper, an efficient learning framework for both finite and infinite Gamma mixture models is proposed. The framework offers accurate approximations to the full posterior and takes into account prior knowledge. The proposed approach achieves superior recognition accuracy in several challenging applications.
MULTIMEDIA TOOLS AND APPLICATIONS
(2023)
Article
Biology
Yupeng Li, Yujie Fu, Yining Liu, Dong Zhao, Lei Liu, Sami Bourouis, Abeer D. Algarni, Chuyue Zhong, Peiliang Wu
Summary: Human health is endangered by pulmonary hypertension (PH), which causes right heart failure and dysfunction due to decreased pulmonary vascular resistance and constriction. Therefore, it is crucial to prevent and monitor the progression of PH before treatment. This study investigates the efficacy of wogonin from Scutellaria baicalensis Georgi leaves in mitigating PH progression in mice. Additionally, a novel noninvasive prediction method for wogonin treatment in PH is developed using a feature selection method called BSCDWOA-KELM, which combines enhanced whale optimizer (SCDWOA) and kernel extreme learning machine (KELM).
COMPUTERS IN BIOLOGY AND MEDICINE
(2023)
Article
Engineering, Electrical & Electronic
Abdullah Ayub Khan, Sami Bourouis, M. M. Kamruzzaman, Myriam Hadjouni, Zaffar Ahmed Shaikh, Asif Ali Laghari, Hela Elmannai, Sami Dhahbi
Summary: This article presents solutions for data security and network resource enhancement in the industrial Internet of Things (IIoT) and E-healthcare using blockchain technology. By utilizing distributed ledger technology and data encryption mechanisms, the proposed solutions aim to address security and trust issues in data exchange and sharing processes.
IEEE SENSORS JOURNAL
(2023)
Article
Geochemistry & Geophysics
Keisuke Onodera, Kiwamu Nishida, Taichi Kawamura, Naomi Murdoch, Melanie Drilleau, Ryoji Otsuka, Ralph Lorenz, Anna Horleston, Rudolf Widmer-Schnidrig, Martin Schimmel, Sebastien Rodriguez, Sebastian Carrasco, Satoshi Tanaka, Clement Perrin, Philippe Lognonne, Aymeric Spiga, Don Banfield, Mark Panning, William Bruce Banerdt
Summary: Convective vortices and dust devils are common phenomena on Mars that reflect the atmospheric structure and drive the dust cycle. Investigating these vortices can improve our understanding of the Martian atmosphere and subsurface properties. NASA's InSight was used to study the vortices with meteorological and seismic data, resulting in a catalog of parameters to characterize their structure and subsurface properties. The study found that most vortices move with a tilted wall in the advection direction and that the subsurface structure can be modeled with two layers transitioning at depths of 5-15 meters.
JOURNAL OF GEOPHYSICAL RESEARCH-PLANETS
(2023)
Article
Computer Science, Information Systems
Syed Muhammad Ahmed Hassan Shah, Asad Ullah, Jawaid Iqbal, Sami Bourouis, Syed Sajid Ullah, Saddam Hussain, Muhammad Qasim Khan, Yaser Ali Shah, Ghulam Mustafa
Summary: This research aims to create a Computer-Aided Diagnostic (CAD) system that can automatically segment and classify brain tumors using MRI, in order to enhance the accuracy and effectiveness of brain tumor diagnosis and treatment planning.
Article
Computer Science, Information Systems
Momina Masood, Marriam Nawaz, Tahira Nazir, Ali Javed, Reem Alkanhel, Hela Elmannai, Sami Dhahbi, Sami Bourouis
Summary: The presence of various maize plant leaf diseases significantly reduces crop production quantity and quality. Recognizing and tracking these infections during the planting period is essential, but current automated solutions are complex or only effective on plain backgrounds. To address this, a deep learning approach called MaizeNet is proposed for accurately locating and classifying maize crop leaf disorders.
Article
Computer Science, Information Systems
Nasir Saleem, Teddy Surya Gunawan, Muhammad Shafi, Sami Bourouis, Aymen Trigui
Summary: This study proposes a convolutional encoder-decoder architecture named MAB-CED for speech enhancement, which leverages the multi-attention bottleneck to effectively capture long-term temporal dependencies. The results show that the proposed MAB-CED outperforms the benchmarks in terms of intelligibility and quality, demonstrating its effectiveness in improving speech enhancement performance.