Subjects -> MATHEMATICS (Total: 1013 journals)
    - APPLIED MATHEMATICS (92 journals)
    - GEOMETRY AND TOPOLOGY (23 journals)
    - MATHEMATICS (714 journals)
    - MATHEMATICS (GENERAL) (45 journals)
    - NUMERICAL ANALYSIS (26 journals)

PROBABILITIES AND MATH STATISTICS (113 journals)                     

Showing 1 - 98 of 98 Journals sorted alphabetically
Advances in Statistics     Open Access   (Followers: 9)
Afrika Statistika     Open Access   (Followers: 1)
American Journal of Applied Mathematics and Statistics     Open Access   (Followers: 10)
American Journal of Mathematics and Statistics     Open Access   (Followers: 8)
Annals of Data Science     Hybrid Journal   (Followers: 17)
Annual Review of Statistics and Its Application     Full-text available via subscription   (Followers: 8)
Applied Medical Informatics     Open Access   (Followers: 12)
Asian Journal of Mathematics & Statistics     Open Access   (Followers: 8)
Asian Journal of Probability and Statistics     Open Access  
Austrian Journal of Statistics     Open Access   (Followers: 4)
Biostatistics & Epidemiology     Hybrid Journal   (Followers: 4)
Cadernos do IME : Série Estatística     Open Access  
Calcutta Statistical Association Bulletin     Hybrid Journal  
Communications in Mathematics and Statistics     Hybrid Journal   (Followers: 3)
Communications in Statistics - Simulation and Computation     Hybrid Journal   (Followers: 9)
Communications in Statistics: Case Studies, Data Analysis and Applications     Hybrid Journal  
Comunicaciones en Estadística     Open Access  
Econometrics and Statistics     Hybrid Journal   (Followers: 1)
Forecasting     Open Access   (Followers: 1)
Foundations and Trends® in Optimization     Full-text available via subscription   (Followers: 2)
Frontiers in Applied Mathematics and Statistics     Open Access   (Followers: 1)
Game Theory     Open Access   (Followers: 3)
Geoinformatics & Geostatistics     Hybrid Journal   (Followers: 13)
Geomatics, Natural Hazards and Risk     Open Access   (Followers: 14)
Indonesian Journal of Applied Statistics     Open Access  
International Game Theory Review     Hybrid Journal   (Followers: 1)
International Journal of Advanced Statistics and IT&C for Economics and Life Sciences     Open Access  
International Journal of Advanced Statistics and Probability     Open Access   (Followers: 6)
International Journal of Algebra and Statistics     Open Access   (Followers: 3)
International Journal of Applied Mathematics and Statistics     Full-text available via subscription   (Followers: 3)
International Journal of Ecological Economics and Statistics     Full-text available via subscription   (Followers: 5)
International Journal of Energy and Statistics     Hybrid Journal   (Followers: 3)
International Journal of Game Theory     Hybrid Journal   (Followers: 3)
International Journal of Mathematics and Statistics     Full-text available via subscription   (Followers: 2)
International Journal of Multivariate Data Analysis     Hybrid Journal  
International Journal of Probability and Statistics     Open Access   (Followers: 3)
International Journal of Statistics & Economics     Full-text available via subscription   (Followers: 6)
International Journal of Statistics and Applications     Open Access   (Followers: 2)
International Journal of Statistics and Probability     Open Access   (Followers: 3)
International Journal of Statistics in Medical Research     Hybrid Journal   (Followers: 5)
International Journal of Testing     Hybrid Journal   (Followers: 1)
Iraqi Journal of Statistical Sciences     Open Access  
Japanese Journal of Statistics and Data Science     Hybrid Journal  
Journal of Biometrics & Biostatistics     Open Access   (Followers: 5)
Journal of Cost Analysis and Parametrics     Hybrid Journal   (Followers: 5)
Journal of Environmental Statistics     Open Access   (Followers: 4)
Journal of Game Theory     Open Access   (Followers: 1)
Journal of Mathematical Economics and Finance     Full-text available via subscription  
Journal of Mathematics and Statistics Studies     Open Access  
Journal of Modern Applied Statistical Methods     Open Access   (Followers: 1)
Journal of Official Statistics     Open Access   (Followers: 2)
Journal of Quantitative Economics     Hybrid Journal  
Journal of Social and Economic Statistics     Open Access  
Journal of Statistical Theory and Practice     Hybrid Journal   (Followers: 2)
Journal of Statistics and Data Science Education     Open Access   (Followers: 2)
Journal of Survey Statistics and Methodology     Hybrid Journal   (Followers: 4)
Journal of the Indian Society for Probability and Statistics     Full-text available via subscription  
Jurnal Biometrika dan Kependudukan     Open Access   (Followers: 1)
Jurnal Ekonomi Kuantitatif Terapan     Open Access  
Jurnal Sains Matematika dan Statistika     Open Access  
Lietuvos Statistikos Darbai     Open Access  
Mathematics and Statistics     Open Access   (Followers: 2)
Methods, Data, Analyses     Open Access   (Followers: 1)
METRON     Hybrid Journal   (Followers: 2)
Nepalese Journal of Statistics     Open Access   (Followers: 1)
North American Actuarial Journal     Hybrid Journal   (Followers: 2)
Open Journal of Statistics     Open Access   (Followers: 3)
Open Mathematics, Statistics and Probability Journal     Open Access  
Pakistan Journal of Statistics and Operation Research     Open Access   (Followers: 1)
Physica A: Statistical Mechanics and its Applications     Hybrid Journal   (Followers: 6)
Probability, Uncertainty and Quantitative Risk     Open Access   (Followers: 2)
Ratio Mathematica     Open Access  
Research & Reviews : Journal of Statistics     Open Access   (Followers: 3)
Revista Brasileira de Biometria     Open Access  
Revista Colombiana de Estadística     Open Access  
RMS : Research in Mathematics & Statistics     Open Access  
Romanian Statistical Review     Open Access  
Sankhya B - Applied and Interdisciplinary Statistics     Hybrid Journal  
SIAM Journal on Mathematics of Data Science     Hybrid Journal   (Followers: 1)
SIAM/ASA Journal on Uncertainty Quantification     Hybrid Journal   (Followers: 3)
Spatial Statistics     Hybrid Journal   (Followers: 2)
Sri Lankan Journal of Applied Statistics     Open Access  
Stat     Hybrid Journal   (Followers: 1)
Stata Journal     Full-text available via subscription   (Followers: 8)
Statistica     Open Access   (Followers: 6)
Statistical Analysis and Data Mining     Hybrid Journal   (Followers: 23)
Statistical Theory and Related Fields     Hybrid Journal  
Statistics and Public Policy     Open Access   (Followers: 4)
Statistics in Transition New Series : An International Journal of the Polish Statistical Association     Open Access  
Statistics Research Letters     Open Access   (Followers: 1)
Statistics, Optimization & Information Computing     Open Access   (Followers: 3)
Stats     Open Access  
Synthesis Lectures on Mathematics and Statistics     Full-text available via subscription   (Followers: 1)
Theory of Probability and its Applications     Hybrid Journal   (Followers: 2)
Theory of Probability and Mathematical Statistics     Full-text available via subscription   (Followers: 2)
Turkish Journal of Forecasting     Open Access   (Followers: 1)
VARIANSI : Journal of Statistics and Its application on Teaching and Research     Open Access  
Zeitschrift für die gesamte Versicherungswissenschaft     Hybrid Journal  


Similar Journals
Journal Cover
Statistics, Optimization & Information Computing
Journal Prestige (SJR): 0.218
Number of Followers: 3  

  This is an Open Access Journal Open Access journal
ISSN (Print) 2311-004X - ISSN (Online) 2310-5070
Published by International Academic Press Homepage  [1 journal]
  • Preface for the Special Issue of International Congress on Engineering and
           Complex Systems ICECS’21

    • Authors: Mohamed BENSLIMANE, Zakaria CHALH, Oumayma BANOUAR
      Pages: 82 - 84
      Abstract: Ten papers selected and revised from the International Congress on Engineering and Complex Systems ICECS’2021, are highlighted.
      PubDate: 2023-01-23
      DOI: 10.19139/soic-2310-5070-1740
      Issue No: Vol. 11, No. 1 (2023)
  • Quadratic Programming and Triangular Numbers Ranking to an Optimal
           Moroccan Diet with Minimal Glycemic Load

    • Authors: Karim El moutaouakil, Abdellah Ahourag, Saliha Chellak, Mouna Cheggour, Hicham Baizri, Abdelkhalak Bahri
      Pages: 85 - 94
      Abstract: In this work, we suggest a variety of optimal daily diets for people with diabetes in Morocco. To this end, we model the foods glycemic load in term of triangular fuzzy numbers. Then, we model the problem of daily diet in term of fuzzy quadratic optimization programming. To transform this model into a line model, we use a very performance ranking function. To solve the obtained model, we call particles swarm algorithm due to its performance and simplicity. Various experiments were carried out on the basis of feeds available on the Moroccan market and for different sizes of the PSO swarm. The experimental results show that our system proposes optimal diets with a reasonable glycemic load between, acceptable favorable gaps and unfavorable nutrients excesses. We show how to combine the proposed diets to obtain a balanced weekly regime.
      PubDate: 2023-01-23
      DOI: 10.19139/soic-2310-5070-1541
      Issue No: Vol. 11, No. 1 (2023)
  • A Hybrid Skin Lesions Segmentation Approach Based on Image Processing

    • Authors: Hanae Moussaoui, Nabil El Akkad, Mohamed Benslimane
      Pages: 95 - 105
      Abstract: Presently image segmentation remains the most crucial stage in the image processing system. The main idea of
      image segmentation is to partition or divide a random image into several partitions depending on the problem to solve. In this paper, we will be presenting a new method of skin cancer detection based on Otsu’s thresholding algorithm and markercontrolled watershed method. This hybridization process is first of all started by segmenting the input image using fuzzy c-means algorithm which is a clustering method that gives the possibility to a pixel to belong to one or more clusters. After that, we will apply multi-Otsu which is a thresholding algorithm that separates the pixels of an image into a variety of classes depending on the intensity of the gray levels. The next step of this proposed method is the marker-controlled watershed
      algorithm that divides the image into homogenous areas or regions by using edge-detection concepts including mathematical morphology. The proposed technique was applied and experienced using several images of different types of skin cancer that were collected and gathered from the web and also from the Kaggle dataset. To assess the worth of the achieved results, we used several evaluation metrics like dice coefficient, sensitivity, specificity as well as Jaccard similarity that all have shown good and satisfactory results.
      PubDate: 2023-01-23
      DOI: 10.19139/soic-2310-5070-1549
      Issue No: Vol. 11, No. 1 (2023)
  • Application of NURBS in the Fracture Mechanics Framework to Study the
           Stress Intensity Factor

    • Authors: Soufiane MONTASSIR, Hassane MOUSTABCHIR , Ahmed ELKHALFI
      Pages: 106 - 115
      Abstract: In this investigation, we successfully employed the Non-Uniform Rational B-spline (NURBS) to study the fracture mechanics. the NURBS functions are very popular in the design field (CAD model) and it is used as an alternative to Lagrange interpolation polynomials. The extended isogeometric analysis based on this basis function is used to evaluate the stress intensity factors (SIFs) in order to control the crack propagation. For various crack lengths, SIFs were calculated to validate the accuracy of this technique. The results obtained are in good agreement with the available techniques as CFEM, X-FEM.
      PubDate: 2023-01-23
      DOI: 10.19139/soic-2310-5070-1553
      Issue No: Vol. 11, No. 1 (2023)
  • Visual Servoing of a 3R Robot by Metaheuristic Algorithms

    • Authors: Inssaf HARRADE, Achraf DAOUI, Zakaria CHALH, Mhamed SAYYOURI
      Pages: 116 - 124
      Abstract: In planar robot control, the singularity problem is frequently encountered when determining the geometric or kinematic robot model. To overcome this problem, a new method is presented in this paper. Indeed, this method is used to compute the joint positions of 3R robots with high accuracy. The main idea of the proposed method is to use a metaheuristic algorithm for retrieving the coordinates of four reference points in the object image that is captured by a hand-eye camera of the 3R robot. Then, the joint positions are estimated by using a metaheuristic algorithm. The resulting positions are then used for controlling the 3R robot for moving to the desired position. The simulation experiments are conducted by using several metaheuristic algorithms with the same population size (N = 400). The obtained results show the high accuracy of the proposed method in terms of determining the exact positions of the 3R robot joints, which leads to finding the optimal robot trajectory.
      PubDate: 2023-01-23
      DOI: 10.19139/soic-2310-5070-1552
      Issue No: Vol. 11, No. 1 (2023)
  • Analysis of The Progressive Damage of A Notched AS4/PEEK Composite
           Laminate Subjected To Tensile Loading

    • Authors: Hamza El idrissi, Abbass Seddouki
      Pages: 125 - 135
      Abstract: The purpose of this work aims to assess the failure of an open-hole composite laminate subjected to tensile loading, using different progressive damage approaches. Within Abaqus, a user-defined material subroutine (UMAT) was developed and implemented by applying a combination of Puck’s failure criterion and the gradual degradation model. In addition, the integrated model in Abaqus based on the Hashin failure criteria coupled with the continuous damage model has been also considered. Moreover, the effect of different specimen sizes on the behaviour of the AS4/PEEK composite laminate has been performed. The predicted results were compared to those available in the literature. The results of this comparative study showed good agreement between the experimental outcomes and the numerical predictions.
      PubDate: 2023-01-23
      DOI: 10.19139/soic-2310-5070-1555
      Issue No: Vol. 11, No. 1 (2023)
  • Fuzzy Logic Control for Balancing a Two-Armed Inverted Pendulum

    • Authors: Boutaina EL Kinany, Mohamed Alfidi, Zakaria Chalh
      Pages: 136 - 142
      Abstract: The unicycle robot is an activated model with only one wheel, which ensures its safety. Researchers were particularly interested in the unicycle robot because of its great robustness, which allows it to travel around without colliding with the ground. The inverted pendulum having two arms is modelled using a mathematical representation based on the Lagrangian formulation in this work, which embodies our concept of the unicycle robot. The fuzzy logic control algorithm will then be used to produce a high level of solidity for this system.
      PubDate: 2023-01-23
      DOI: 10.19139/soic-2310-5070-1548
      Issue No: Vol. 11, No. 1 (2023)
  • Modelling and Simulation of the Hybrid System PV-Wind

    • Authors: Alpha Alhaji Bangura, Mustapha Errouha, Hicham HIHI, Zakaria CHALH
      Pages: 143 - 153
      Abstract: In this paper, we focused on modeling and simulation of a hybrid solar-wind energy system, consisting of a photovoltaic cell and a wind turbine driven by a Permanent Magnet Synchronous Generator (PMSG). The proposed system gives details of the hybrid solar-wind system. In the PV subsystem, there will be a photovoltaic energy subsystem, MPPT controller, and a DC-DC boost converter. The wind turbine subsystem includes a wind turbine energy subsystem, PMSG, and MPPT controller. The MPPT controllers were designed to extract the maximum power regardless of the weather conditions and temperatures. The P and O algorithm is introduced in the MPPT used in the PV energy subsystem and on the control of the machine side converter (MSC). The proposed wind turbine energy subsystem is based on Direct Torque and Flux Control (DTFC). The simulated results are demonstrated to show that the hybrid solar-wind generating system can realize a maximum power point tracking control of wind and solar power to satisfy the energy demand over an extensive range under unpredictable atmospheric conditions. The system has been demonstrated by MATLAB/Simulink and tested for variable weather conditions and temperatures.
      PubDate: 2023-01-23
      DOI: 10.19139/soic-2310-5070-1535
      Issue No: Vol. 11, No. 1 (2023)
  • Thermal Performance Analysis of Functional Parameters of the Floor Heating
           System in Africa

    • Authors: Safaa Oubenmoh, Afaf Charraou, Rachid Saadani, Miloud Rahmoune, Abdelouahad Ait msaad, Abdelmajid Jamil, El hassan Sebbar
      Pages: 154 - 167
      Abstract: Buildings frequently utilize radiant heating floors because they offer benefits including effective use of space and homogeneous temperature distribution, which results in increased thermal comfort. The present work aims to investigate the perfect use of floor heating systems analytically and numerically with improved thermal performance to prove their efffficiency in various African climates. The evaluation depends on the functional parameters of the heating system and particularly focuses on floor surface temperature to acquire the desired heat flux and the perfect supply water temperature. According to results, It is desirable to use floor coverings with low thermal resistance and should not exceed R = 0.15 m2 . K/W since it has considerable influence on the thermal efffficiency of the underfloor heating components. The pipe diameter is suggested to be about 20 mm. By comparing pipe spacings of 15 mm and 30 mm, the difference in supply water temperature is approximately 7.4 C. The smaller the pipe spacing, the more energy it delivers and makes the floor much warmer while reducing heating time. Regarding the effect of pipe materials, PE-X is chosen for this study because of its low cost and resistance to corrosion and scaling. As the influence of these studied parameters on floor heating is remarkable, there is also the impact of the ambient temperature of each city on the floor heating efffficiency. The proposed model can be applied and considered potentially beneficial and helpful to the control, and design of floor heating systems, and choosing the right heating source.
      PubDate: 2023-01-23
      DOI: 10.19139/soic-2310-5070-1551
      Issue No: Vol. 11, No. 1 (2023)
  • Applications of Machine Learning Algorithms for Photovoltaic Fault
           Detection: a Review

    • Authors: Abdelilah Et-taleby, Mohamed Benslimane, Mohammed Boussetta, Yassine Chaibi
      Pages: 168 - 177
      Abstract: Over the years, the boom of technology has caused the accumulation of a large amount of data, famously known as big data, in every field of life. Traditional methods have failed to analyse such a huge pile of data due to outdated techniques. In recent times, the use of photovoltaic systems has risen worldwide. The arena Photovoltaic (PV) system has witnessed the same unprecedented expansion of data owing to the associated monitoring systems. However, the faults created within the PV system cannot be detected, classified, or predicted by using conventional techniques. This necessitates the use of modern techniques such as Machine Learning. Its powerful algorithms, such as artificial neural networks (ANN), help in the accurate detection and classification of faults in the PV system. This review paper introduces and evaluates the applications of Machine Learning (ML) algorithms in PV fault detection. It provides a brief overview of Machine Learning and its concepts along with various widely used ML algorithms. This review various peer-reviewed studies to investigate various models of ML algorithms in the PV system with the main focus on its fault detection accuracy and efficiency.
      PubDate: 2023-01-23
      DOI: 10.19139/soic-2310-5070-1537
      Issue No: Vol. 11, No. 1 (2023)
  • Industry 4.0 Implementation in Lean Supply Chain Management: a Systematic
           Literature Review

    • Authors: Asmae El Jaouhari, Soumaya Fellaki, Mohamed Amejwal, Jabir Arif
      Pages: 178 - 185
      Abstract: The major aspects and impacts of the interrelationships between Industry 4.0 (I4.0) technology and Lean Supply Chain Management are discussed in this article (LSCM). Many practical LSCM systems based on I4.0 have lately appeared. Despite this, there has been little research into the use of I4.0 technologies within LSCM. Machine learning, smart factories, blockchain, and the internet of services (IoS) are all possible LSCM revolution enablers. The goal of this research is to find out more about present and potential I4.0 technologies that can improve LSCM research and application in order to fill a gap in the current literature. A Systematic Literature Review (SLR) technique was used for the collection, selection, and evaluation of published literature. We looked at 79 studies published between 2010 and 2021 that were found in the Scopus database.
      PubDate: 2023-01-23
      DOI: 10.19139/soic-2310-5070-1539
      Issue No: Vol. 11, No. 1 (2023)
School of Mathematical and Computer Sciences
Heriot-Watt University
Edinburgh, EH14 4AS, UK
Tel: +00 44 (0)131 4513762

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