Search results for “algorithm”

About 29 results in articles

Open Access Pub publishes peer-reviewed, free-to-read open-access articles. Showing articles matching algorithm — open any to read the full text, or download the PDF or XML.

Investigating Into Artificial Intelligence Trained Algorithms and Their Effectiveness in Addressing Female Infertility

Jan 2026
Kirandeep KaurCorresponding author

Background Female infertility has always been an issue and social stigma in India and it’s not only the matter of physical health of the female but also related to psychological health and the social status of the women. The diagnosis of this problem criterion requires medical symptoms for the condi…

Evaluation of A Nutrition Feeding Algorithm for Children and Adolescents Undergoing Haematopoietic Stem Cell Transplantation (HSCT)

May 2022 DOI 10.14302/issn.2379-7835.ijn-22-4190
Jodie BartleCorresponding author

Background Nutrition support during the acute phase post allogeneic haematopoietic stem cell transplantation (HSCT) is required to optimise short- and long-term outcomes for children. An algorithm was developed and evaluated to assist clinicians to make objective and consistent enteral feeding decis…

Nature Inspired Bargain Optimization Algorithm for Effective Interpretation of Geoelectrical Data

Jun 2021 DOI 10.14302/issn.2766-8681.jcsr-21-3796
Stanley RajCorresponding author

Geoelectrical resistivity data collected from the ground contain lot of noises and errors. It requires efficient algorithm to reduce the errors to make an actual inversion models. Though different algorithm can be applied, nature inspired algorithm is more potential in inverting geoelectrical data i…

An Algorithm to Predict the Possible SARS-CoV-2 Mutations

Apr 2021 DOI 10.14302/issn.2692-1537.ijcv-21-3804
Raúl IseaCorresponding author

An algorithm to determine the possible mutations that can occur in the S protein responsible of the Covid-19 in humans is designed. To do that, nine tridimensional sequences available in the Protein Data Bank similar to the initial strain sequenced in Wuhan (December 2019) are identified. The condit…

Genetic Algorithm Coupled with Neural Networks to Guesstimate the Subsurface Features of the Earth

Jul 2020 DOI 10.14302/issn.2643-2811.jmbr-20-3449
A. Stanley RajCorresponding author

Electrical resistivity method is often used to estimate the subsurface structure of the earth. Many inversion algorithms are available to estimate the subsurface features. However, predicting the exact parameter in the non-linear subsurface of the earth is difficult because of its complex compositio…

Study of The ID3 and C4.5 Learning Algorithms

Apr 2020 DOI 10.14302/issn.2641-5526.jmid-20-3302
Y.FakirCorresponding author Laboratory of Information Processing and Decision Support, Faculty of Sciences and Technics, Sultane Moulay Slimane University, Beni Mellal, Morocco

Data Mining is a process of exploring against large data to find patterns in decision-making. One of the techniques in decision-making is classification. Data classification is a form of data analysis used to extract models describing important data classes. There are many classification algorithms.…

A New Model of Body Composition: Concept and Design Features of the DBA-Model

Apr 2026 DOI 10.14302/issn.2574-450X.jom-26-6138
Nicolaus DahlmannCorresponding author

Indices, based on data such as height and weight in general and in particularly the body mass index (BMI), are often used to assess overweight. However, there is limited capacity to differentiate the amount of fat mass between individuals. This review refers to an anthropometric model called Dahlman…

Extended Bioethics as a Response to Global Biological Consciousness

Jul 2025 DOI 10.14302/issn.2766-8681.jcsr-25-5618
Raul IseaCorresponding author

Humanity is persistently threatened by global pandemics- exemplified by the Black plague, the Spanish flu, and COVID-19, which reveal a continual absence of concern in real-time prevention. To forecast biological threats in the future and spur proactive human response, the term Global Biological Con…

Automated Grassweed Detection in Wheat Cropping System: Current Techniques and Future Scope

May 2024 DOI 10.14302/issn.2998-1506.jpa-24-5058
Swati ShresthaCorresponding author

Wheat is a staple grain crop in the United States and around the world. Weed infestation, particularly grass weeds, poses significant challenges to wheat production, competing for resources and reducing grain yield and quality. Effective weed management practices, including early identification and…

Can Data-Driven Hypotheses Replace the Scientific Method?

Oct 2023 DOI 10.14302/issn.2768-0207.jbr-23-4753
Raúl IseaCorresponding author

The rapid growth of data and scientific journals has led to the promotion of data-based hypotheses. Data-driven hypotheses can also be used to establish new scientific laws or confirm existing ones, demonstrating the foundation of this philosophy. To introduce this idea, this article presents a Pyth…

Soluble Biobased Substances in soil or Salicylic Acid on leaves affect the foliar pH and soil biovariability of Grapes-as explained by the NIR Spectroscopy of Litterbags and Teabags

Jul 2023 DOI 10.14302/issn.2639-3166.jar-23-4648
Giorgio MasoeroCorresponding author

The purpose of the trial was to check the effects of two grapevine treatments on the plant activity and on the bioactivity and biovariability of the soil. An alkaline complex of Soluble Biobased Substances (SBS) was used in soil at 30 g per plant in a single solution. Salicylic Acid (SA) was used on…

Clustering objects for spatial data mining: a comparative study

Mar 2023 DOI 10.14302/issn.2768-0207.jbr-23-4478
Youssef FAKIRCorresponding author

Spatial data mining (SDM) is searching important relationships and characteristics that can clearly exist in spatial databases. This content aims to compare object clustering algorithms for spatial data mining, before identifying the most efficient algorithm. To this end, this paper compare k-means,…

Mining Frequent Sequential Patterns

Mar 2021 DOI 10.14302/issn.2768-0207.jbr-21-3455
Youssef FAKIRCorresponding author

In recent times, the urge to collect data and analyze it has grown. Time stamping a data set is an important part of the analysis and data mining as it can give information that is more useful. Different mining techniques have been designed for mining time-series data, sequential patterns for exampl…

A Predictive Tobacco Control Mass Media Programming Model to Achieve Best Buys in Low –and Middle-Income Country Settings

Dec 2020 DOI 10.14302/issn.2641-4538.jphi-20-3641
Tahir TurkCorresponding author

Background Evidence based message design and efficient dissemination of messages are critical to the success of tobacco control mass media campaigns. Although evidence to measure effectiveness of messages is emerging within low -and middle-income country (LMIC) settings, evidence-based approaches fo…

Closed Frequent Itemsets Mining Based on It-Tree

Jul 2020 DOI 10.14302/issn.2641-5526.jmid-20-3424
Youssef FakirCorresponding author

In the last decade, the amount of collected data, in various computer science applications, has grown considerably. These large volumes of data need to be analysed in order to extract useful hidden knowledge. This work focuses on association rule extraction. This technique is one of the most popular…

RESinvANFIS v1.0 - A Versatile MATLAB Tool for Inverting Geoelectrical Resistivity Sounding Data using Neuro Fuzzy Technique

Apr 2020
A. Stanley RajCorresponding author

Geoelectrical resistivity data is used for estimating the subsurface features of earth. It is very difficult to estimate the depth and true resistivity analytically, therefore many mathematical models approximates the result. The approximation relies on many parameters as the heterogenous model of e…

Quantitative Computational Prediction of the Consensus B-cell Epitopes of 2019-nCoV

Apr 2020 DOI 10.14302/issn.2691-8862.jvat-20-3278
Raúl IseaCorresponding author

The goal of this paper is to obtain the numerical consensus of B cell epitopes from the three-dimensional structure of the prefusion spike glycoprotein of the new betacoronavirus that could lead to the development of a vaccine to 2019-nCoV. In order to do that, we first calculated the B-cell epitope…

Structuredness as a Measure of the Complexity of the Structure and the Role of Post-Dissipative Structures and Ratchet Processes in Evolution

Jan 2020 DOI 10.14302/issn.2689-4602.jes-19-3155
George MikhailovskyCorresponding author

As shown earlier, the algorithmic complexity, like Shannon information and Boltzmann entropy, tends to increase in accordance with the general law of complification. However, the algorithmic complexity of most material systems does not reach its maximum, i.e. chaotic state, due to the various laws o…

Malaria and Typhoid Fever Coinfection in the Hospital University of Bobo-Dioulasso, Burkina Faso

Dec 2019 DOI 10.14302/issn.2690-6759.jpar-19-3081
Ibrahim SangaréCorresponding author Institut Supérieur des Sciences de la Santé, Université Nazi BONI, Bobo-Dioulasso, Burkina Faso

Malaria and typhoid fever are two endemic infectious diseases in developing tropical countries including Burkina Faso. There are two distinct infectious diseases with many similar clinical signs. In each sanitary area, it is important to describe the "typhomalaria" epidemiology to elaborate adequate…

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