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An Application of Machine Learning Methods to Detect Mango Varieties

Open Journal of Applied Sciences 2024年第7期14卷 1666-1690页

作者： Abou Bakary Ballo Moustapha Diaby Adama coulibaly Department of Mathematics and Computer Science University FLIX HOUPHOUT-BOIGNY Abidjan Cte dIvoire African College of Information and Communication Technologies Abidjan Cte dIvoire

The mango, a fruit of immense economic and dietary significance in numerous tropical and subtropical regions, plays a pivotal role in our agricultural landscape. Accurate identification is not just a necessity, but a crucial step for effective classification, sorting, and marketing. This study delves into the potential of machine learning for this task, comparing the performance of four models: MobileNetV2, Xception, VGG16, and ResNet50V2. These models were trained on a dataset of annotated mango images, and their performance was evaluated using precision, accuracy, F1 score, and recall, which are standard metrics for image classification. The Xception model, with its exceptional performance, outshone the other models on all performance indicators. It achieved a staggering accuracy of 99.47%, an F1 score of 99.43%, and a recall of 99.43%, showcasing its remarkable ability to accurately identify mango varieties. MobileNetV2 followed closely with performances of 98.95% accuracy, 98.85% F1 score, and 98.86% recall. ResNet50V2 also delivered satisfactory results with 97.39% accuracy, 97.08% F1 score, and 97.17% recall. VGG16, however, was the least effective, with a precision rate of 83.25%, an F1 score of 83.25%, and a recall of 85.47%. These results confirm the superiority of the Xception model in detecting mango varieties. Its advanced architecture allows it to capture more distinguishing features of mango images, leading to greater precision and reliability. Xception’s robustness in identifying true positives is another advantage, minimizing false positives and contributing to more accurate classification. This study highlights the promising potential of machine learning, particularly the Xception model, for accurately identifying mango varieties.

关键词： Machine Learning Recognition Mango Varieties Algorithms Feature Extraction Convolution Training Classification

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Analysis of the Energy and Environmental Sustainability of a Built Space System: The Case of Patte d’Oie University Campus in Ouagadougou

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Energy and Power Engineering 2024年第5期16卷 197-215页

作者： Daouda Sawadogo Ousmane coulibaly Xavier Chesneau Belkacem Zeghmati Laboratoire de Physique et de Chimie de l’ Environnement (LPCE) Department of Physics Universit&#233 Joseph KI-ZERBO Ouagadougou Burkina Faso Multidisciplinary Modeling and Simulation Laboratory (LAMPS) Mechanics and Energetics Group (GME) Universit&#233 Perpignan Via Domitia Perpignan France

The aim of this study was to carry out a dynamic simulation of the energy and environmental performance of a built space system, with a view to assessing its energy and environmental class. The use of a simulation and modeling tool, supported by various methodological references, formed the basis of our approach. Adopting a systemic perspective, we described the structural and functional aspects of the systems making up built spaces, as well as the associated energy flows. Our approach was also based on a typology, taking into account typical days, structural and functional configurations at different scales and angles of observation. The analysis tool we developed in Java was applied to the built space system of the Patte d’Oie university campus in Ouagadougou. Annual electricity consumption was measured at 124387.34 kWh, closely aligned with the average annual electricity bill (125224.31 kWh), with a maximum relative deviation of 1%, followed by a carbon emission balance of 58337.66 kg eq CO2 per year. This validation confirmed the effectiveness of our tool. In addition, following the analysis of electricity consumption using our tool, the university campus was classified in energy class B and environmental class C. These results will be based on the emission factors of the energy mix of the West African Economic and Monetary Union (WAEMU) territory, with particular emphasis on Burkina Faso.

关键词： Energy Function Energy Class Carbon Footprint Built Space Consumption Item Systemic Approach Typological Approach

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The Dual of the Two-Variable Exponent Amalgam Spaces (L^q(),l^p())(Ω)

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Journal of Applied Mathematics and Physics 2024年第2期12卷 383-431页

作者： Sambourou Massinanke Sékou coulibaly mamad.u Traore Departement d’Etudes et de Recherches de Mathématiques et d’Informatique Université des Sciences des Techniques et des Technolo-gies de Bamako Bamako Mali

Wiener amalgam spaces are a class of function spaces where the function’s local and global behavior can be easily distinguished. These spaces are ex-tensively used in Harmonic analysis that originated in the work of Wiener. In this paper: we first introduce a two-variable exponent amalgam space (Lq(),lp())(Ω). Secondly, we investigate some basic properties of these spaces, and finally, we study their dual.

关键词： Amalgam Spaces Variable Exponent Lebesgue Spaces Dual of a Vector Space

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Enhancing Pneumonia Detection in Pediatric Chest X-Rays Using CGAN-Augmented Datasets and Lightweight Deep Transfer Learning Models

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Journal of Data Analysis and Information Processing 2024年第1期12卷 1-23页

作者： coulibaly Mohamed Ronald Waweru Mwangi John M. Kihoro Department of Mathematics Pan African University Institute for Basic Sciences Technology and Innovation (PAUSTI) Nairobi Kenya Department of Computing Jomo Kenyatta University of Agriculture and Technology Nairobi Kenya School of Computing and Mathematics The Cooperative University of Kenya Nairobi Kenya

Pneumonia ranks as a leading cause of mortality, particularly in children aged five and under. Detecting this disease typically requires radiologists to examine chest X-rays and report their findings to physicians, a task susceptible to human error. The application of Deep Transfer Learning (DTL) for the identification of pneumonia through chest X-rays is hindered by a shortage of available images, which has led to less than optimal DTL performance and issues with overfitting. Overfitting is characterized by a model’s learning that is too closely fitted to the training data, reducing its effectiveness on unseen data. The problem of overfitting is especially prevalent in medical image processing due to the high costs and extensive time required for image annotation, as well as the challenge of collecting substantial datasets that also respect patient privacy concerning infectious diseases such as pneumonia. To mitigate these challenges, this paper introduces the use of conditional generative adversarial networks (CGAN) to enrich the pneumonia dataset with 2690 synthesized X-ray images of the minority class, aiming to even out the dataset distribution for improved diagnostic performance. Subsequently, we applied four modified lightweight deep transfer learning models such as Xception, MobileNetV2, MobileNet, and EfficientNetB0. These models have been fine-tuned and evaluated, demonstrating remarkable detection accuracies of 99.26%, 98.23%, 97.06%, and 94.55%, respectively, across fifty epochs. The experimental results validate that the models we have proposed achieve high detection accuracy rates, with the best model reaching up to 99.26% effectiveness, outperforming other models in the diagnosis of pneumonia from X-ray images.

关键词： Pneumonia Detection Pediatric Radiology CGAN (Conditional Generative Adversarial Networks) Deep Transfer Learning Medical Image Analysis

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Nephroblastoma in Adults about a Clinical Case

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Surgical Science 2024年第2期15卷 81-88页

作者： Tounkara Cheickna coulibaly Amara Malle Oumar Amadou Bréhima Bolo coulibaly Bagoyoko Kaloga Daye Samake Hamidou Berthe Honoré Jean-Baptiste Gabriel Diakite mamad.u Lamine Department of General Surgery Hospital Center “Mother Child” Luxembourg Bamako Mali Directorate of Army Health Services Kati Mali Department of Urology and Andrology Point G University Hospital Bamako Mali

Nephroblastoma is the most common malignant renal tumor in children and is related to an abnormal proliferation of cells resembling those of the embryonic kidney (metanephroma), hence the terminology;embryonal tumor. These are tumors that remain and remain unstudied in Mali because they are common in adults in our context. Its annual incidence is estimated at approximately 1/10,000 births. Nephroblastoma is a rare or even exceptional tumor in adults. The clinical manifestation was a large swelling of the right hypochondrium;abdominal pain for a year;unquantified fever, hypertension, initial hematuria associated with burning during urination and anemia. The main clinical manifestation remained fever and abdominal pain. This renal tumor posed a diagnostic problem which was previously labeled as a mesenteric tumor in our general surgery department. The diagnosis was made by imaging: CT and magnetic resonance imaging. The treatment is multidisciplinary and combines chemotherapy, surgery with or without radiotherapy. The prognosis is poor due to late diagnosis and less effectiveness of chemotherapy compared to the child. Survival did not exceed a year and a half because the renal tumor in our patient was surgically overcome. We report a case of nephroblastoma in an 86-year-old patient with unfavorable histology (hematogenous metastases), operated on in the general surgery department and whose postoperative course was simple and who was referred to oncology for treatment.

关键词： Nephroblastoma Malignant Kidney Tumor Treatment Adult Mali

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Epidemiological, Clinical and Therapeutic Aspects of Bladder Tumors in a Schistosomiasis-Endemic Country

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Open Journal of Urology 2024年第3期14卷 151-159页

作者： Amadou Kassogue Idrissa Sissoko Alkadri Diarra Moussa Salifou Diallo Daouda Sangare Boureima coulibaly Philippe Togo Albacaye Sember Mahamadou Traore Salia coulibaly mamad.u Lamine Diakite Urology Department Pr Bocar Sidy Sall University Hospital Kati Mali Urology Department Luxembourg University Hospital Bamako Mali Medical Imaging Department Pr Bocar Sidy Sall University Hospital Kati Mali Urology Department Point G University Hospital Bamako Mali

Introduction: Bladder tumors are common in our country;Mali is a bilharzial endemic country. In our context, urinary bilharzia is common, and bladder tumors arouse particular interest in the field of urological oncology, because of their frequency, their diagnosis, their difficulty in management and their histological particularity. The objective of our work was to study the epidemiological, clinical and therapeutic aspects of bladder tumors. Materials and Methods: This is a cross-sectional, descriptive study with a retrospective and prospective collection that took place over 3 years from January 1, 2020 to December 31, 2022. Results: We identified 316 cases of bladder tumors during this period. Bladder tumors are a common pathology representing 35.95% of all hospitalized patients, and occupying the 1st rank of tumors in urology in the Urology Department of the Pr Bocar Sidy Sall University Hospital in Kati. Bladder tumors were more common in men with 56.33%. The average age of our patients was 50 years ± 25.8 years and the extreme ages were 20 and 87 years. Urinary schistosomiasis, considered a predisposing factor, was found in 66.78% of cases in our patients as a history. Transurethral resection of the bladder was performed in 100% of our patients, nephrostomy in 1.90% of cases, ureterostomy in 1.58% of cases, Bricker type urinary diversion in 1.27% of cases, and a neobladder in 0.32% of cases. Squamous cell carcinoma is the dominant histological type (88.29%). The postoperative outcome was 99% favorable after resection. Conclusion: Bladder tumors were mainly tumors infiltrating the bladder muscle. The main risk factor was urinary bilharzia. Squamous cell carcinoma is the most common histological type with a diagnostic delay, thus limiting radical treatment after resection of the bladder tumor.

关键词： TURB Squamous Cell Carcinoma Urinary Schistosomiasis

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PCR-HRM for Genomic Surveillance of SARS-CoV-2: A Variant Detection Tool in Côte d’Ivoire, West Africa

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American Journal of Molecular Biology 2024年第3期14卷 166-185页

作者： Aboubacar Sylla Solange Kakou-Ngazoa Tata Gniré Safiatou coulibaly Yakoura Karidja Ouattara Mireille Sylvie Kouamé-Sina Zeinab Ouattara David Ngolo coulibaly Brice Kouakou Bla Mireille Dosso Molecular Biology Platform Pasteur Institute Cte dIvoire Abidjan Cte dIvoire Laboratory of Biology and Health UFR Biosciences University Flix Houphout Boigny Abidjan Cte dIvoire Genetic and Cancer Laboratory Molecular Genetics Platform Pasteur Institute Cte dIvoire Abidjan Cte dIvoire Epidemic Virus Department Pasteur Institute Cte dIvoire Abidjan Cte dIvoire

The rise of new viruses, like SARS-CoV-2 causing the COVID-19 outbreak, along with the return of antibiotic resistance in harmful bacteria, demands a swift and efficient reaction to safeguard the health and welfare of the global population. It is crucial to have effective measures for prevention, intervention, and monitoring in place to address these evolving and recurring risks, ensuring public health and international security. In countries with limited resources, utilizing recombinant mutation plasmid technology in conjunction with PCR-HRM could help differentiate the existence of novel variants. cDNA synthesis was carried out on 8 nasopharyngeal samples following viral RNA extraction. The P1 segment of the SARS-CoV-2 Spike S protein was amplified via conventional PCR. Subsequently, PCR products were ligated with the pGEM-T Easy vector to generate eight recombinant SARS-CoV-2 plasmids. Clones containing mutations were sequenced using Sanger sequencing and analyzed through PCR-HRM. The P1 segment of the S gene from SARS-CoV-2 was successfully amplified, resulting in 8 recombinant plasmids generated from the 231 bp fragment. PCR-HRM analysis of these recombinant plasmids differentiated three variations within the SARS-CoV-2 plasmid population, each displaying distinct melting temperatures. Sanger sequencing identified mutations A112C, G113T, A114G, G214T, and G216C on the P1 segment, validating the PCR-HRM findings of the variations. These mutations led to the detection of L452R or L452M and F486V protein mutations within the protein sequence of the Omicron variant of SARS-CoV-2. In summary, PCR-HRM is a vital and affordable tool for distinguishing SARS-CoV-2 variants utilizing recombinant plasmids as controls.

关键词： Genomic Surveillance SARS-CoV-2 PCR-HRM Variants Côte d’Ivoire

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Optimization of Tin-Doped Hybrid Perovskite Solar Cells

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Open Journal of Applied Sciences 2024年第3期14卷 687-706页

作者： Bakary coulibaly Abou Ahou Florentine Kokora Desiré Meledje Boko Aka Bernabé Mari Soucase IREN (Institut de Recherche sur les Energies Nouvelles Abidjan Cote d’Ivoire Unité de Formation et de Recherche des Sciences Fondamentales Appliquées (UFRSFA) Universite Nangui Abrogoua Abidjan Cote d’Ivoire Laboratoire de Physiques Fondamentales Appliquées (LPFA) Université Nangui Abrogoua Abidjan Cote d’Ivoire Institut de Disseny i Fabricació Universitat Politècnica. València Spain

Perovskites are a category of materials with a unique crystal structure that allows them to absorb sunlight efficiently. This efficiency is particularly high in the case of CH3NH3Pb1-xSnxI3 mixed perovskites. The combination of lead (Pb) and tin (Sn) in this matrix provides a broad spectrum of sunlight absorption, enabling the generation of a larger voltage and, subsequently, increased power. The primary objective in solar cell development is to maximize the conversion of sunlight into electricity. Mixed perovskites like CH3NH3Pb1-xSnxI3 have demonstrated significant potential in this regard. Their tunable bandgap, courtesy of varying the Pb: Sn ratio, allows for the optimization of sunlight absorption. The result is solar cells that surpass many conventional counterparts in terms of energy efficiency. Another significant advantage of these mixed perovskite solar cells is their cost-effectiveness. They can be manufactured using solution-based processes, which are less expensive than the high-vacuum methods required for traditional silicon solar cells. While the prospects for mixed perovskite solar cells are undeniably promising, there are concerns about the toxicity of lead, a key component of these cells. Lead is known to have harmful effects on the environment and health. The aim of our work is to reduce or eliminate lead toxicity in the perovskite cell while maintaining its efficiency. Thus, in a theoretical and experimental approach, we obtained following efficiencies of samples: CH3NH3PbI3 (22.49%) CH3NH3Pb0.75Sn0.25I3 (22.72%), CH3NH3Pb0.5Sn0.5I3 (23.00%) CH3NH3Pb0.25Sn0.75I3 (22.61%), CH3NH3SnI3 (22.38%). Doping with 50% tin

关键词： Cost Efficiency Lead/Tin Perovskite Toxicity

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Litho-Tectonic Architecture of the Dialafara Area, Kédougou-Kéniéba Inlier, Integration of New Field Data and Geophysics

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Open Journal of Geology 2024年第3期14卷 279-297页

作者： Mahamadou Diallo mamad.u Yossi Ibrahim Méyès coulibaly Youssouf Son Amako Dolo Département de Géologie et Mines Ecole Nationale d’Ingénieurs Abderhamane Baba Touré (ENI-ABT) Bamako Mali Sagax Afrique S.A Geophysical Surveys and Consulting Bamako Mali

The Dialafara area is part of the highly endowed Kédougou-Kéniéba Inlier (KKI), West-Malian gold belt, which corresponds to a Paleoproterozoic window through the West African Craton (WAC). This study presents, first of all, an integration of geophysical data interpretation with litho-structural field reconnaissance and then proposes a new litho-structural map of the Dialafara area. The Dialafara area shows a variety of lithology characterized by volcanic and volcano-sedimentary units, metasediments and plutonic intrusion. These lithologies were affected by a complex superposition of structures of unequal importance defining three deformation phases (DD1 to DD3) under ductile to brittle regimes. These features permit to portray a new litho-structural map, which shows that the Dialafara area presents a more complex lithological and structural context than the one presented in regional map of the KKI. This leads to the evidence that this area could be a potential site for exploration as it is situated between two world-class gold districts.

关键词： Kédougou-Kéniéba Inlier Dialafara Mapping Aeromagnetic Data Structure

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Ureteroscopy with Holmium: YAG Laser—A Initial Study in the Urology Department of the Pr Bocar Sidy Sall University Hospital of Kati

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Open Journal of Urology 2024年第4期14卷 207-216页

作者： Amadou Kassogue Idrissa Sissoko Daouda Sangare Moussa Salifou Diallo Hamed Sylla Mahamadou Traore Boureima coulibaly Salia coulibaly Modibo Diakite Modibo Togola Fadima Tall Ilias Guindo Ben Naoum Kamel mamad.u Lamine Diakite Urology Department University Hospital of Pr Bocar Sidy Sall Kati Mali Radiology Department University Hospital of Pr Bocar Sidy Sall Kati Mali Anesthesy and Reanimation Department University Hospital of Pr Bocar Sidy Sall Kati Mali Urology Department University Hospital Nimes France Urology Department University Hospital of Point G Bamako Mali

Introduction: Ureteroscopy is a minimally invasive endoscopic surgery which provides access to the ureter, pyelon and calyceal cavities via the urethra and the bladder. Laser ureteroscopy uses the laser as an energy source to treat the stone and eliminate it naturally. Minimally invasive endoscopic methods are struggling to become popular in sub-Saharan African countries, especially for the upper urinary tract. The objective of our work was to report the results of our first laser ureteroscopy experience in the department. Materials and Methods: This was a prospective and descriptive study running from December 1, 2023 to February 19, 2024. Included in our study was any case of upper urinary tract stone operated by Laser ureteroscopy. The characteristics of the lithiasis were determined by CT scan. Sterilization of urine was verified by carrying out a cytobacteriological examination of urine. Ureteral lithiasis was approached by semi-rigid ureteroscopy. Renal lithiasis was immediately addressed by flexible ureteroscopy. Ureteroscopy was coupled with a Holmium YAG laser. A double J ureteral catheter was placed after the operation. A 230 µm laser fiber was used in each case with a generator with a power of 35 watts (Storz Calculase III type). An access sheath was used in all cases of flexible ureteroscopy. The parameters studied were: sociodemographic characteristics, lithiasis (site, size, number, density, topography), type of anesthesia, duration of laser use, duration of intervention, postoperative outcomes. Data entry and analysis were carried out using the software (Word 2016 and SPSS). Result: We collected 30 cases of laser ureteroscopy. The average age was 37 years with extremes of 9 and 79 years. The male gender was more represented. The most common age group was 24-39 years old. Renal colic was the most frequent reason for admission, 12 patients (40%). On physical examination, lumbar tenderness was present in 47% (14 patients). ECBU was positive in 4 patients

关键词： Ureteroscopy Semi-Rigid Flexible Holmium YAG Laser

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