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Computers, Materials & Continua 2024年第9期80卷 3485-3506页

作者： Tajim md.Niamat Ullah Akhund Waleed M.Al-Nuwaiser Department of Computer Science and Engineering(CSE) Daffodil International UniversityDhaka1216Bangladesh Graduate School of Science and Engineering Saga UniversitySaga8408502Japan Computer Science Department College of Computer and Information SciencesImam Mohammad Ibn Saud Islamic University(IMSIU)Riyadh11623Saudi Arabia

This study explores the impact of hyperparameter optimization on machine learning models for predicting cardiovascular disease using data from an IoST(Internet of Sensing Things)*** distinct machine learning approaches were implemented and systematically evaluated before and after hyperparameter *** improvements were observed across various models,with SVM and Neural Networks consistently showing enhanced performance metrics such as F1-Score,recall,and *** study underscores the critical role of tailored hyperparameter tuning in optimizing these models,revealing diverse outcomes among *** Trees and Random Forests exhibited stable performance throughout the *** enhancing accuracy,hyperparameter optimization also led to increased execution *** representations and comprehensive results support the findings,confirming the hypothesis that optimizing parameters can effectively enhance predictive capabilities in cardiovascular *** research contributes to advancing the understanding and application of machine learning in healthcare,particularly in improving predictive accuracy for cardiovascular disease management and intervention strategies.

关键词： Internet of sensing things(IoST) machine learning hyperparameter optimization cardiovascular disease prediction execution time analysis performance analysis wilcoxon signed-rank test

Vision Intelligence for Smart Sheep Farming: Applying Ensemble Learning to Detect Sheep Breeds

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Artificial Intelligence in Agriculture 2024年第1期11卷 1-12页

作者： Galib Muhammad Shahriar Himel md.Masudul Islam Mijanur Rahaman Bangladesh University of Business and Technology DhakaBangladesh

The ability to automatically recognize sheep breeds holds significant value for the sheep *** farmers often require breed identification to assess the commercial worth of their ***,many farmers specifically the novice one encounter difficulties in accurately identifying sheep breeds without experts in the ***,there is a need for autonomous approaches that can effectively and precisely replicate the breed identification skills of a sheep breed expert while functioning within a farm environment,thus providing considerable benefits the industry-specific to the novice farmers in the *** achieve this objective,we suggest utilizing a model based on convolutional neural networks(CNNs)which can rapidly and efficiently identify the type of sheep based on their facial *** approach offers a cost-effective *** conduct our experiment,we utilized a dataset consisting of 1680 facial images which represented four distinct sheep *** paper proposes an ensemble method that combines Xception,VGG16,InceptionV3,InceptionResNetV2,and DenseNet121 *** the transfer learning using this pre-trained model,we applied several optimizers and loss functions and chose the best combinations out of *** classification model has the potential to aid sheep farmers in precisely and efficiently distinguishing between various breeds,enabling more precise assessments of sector-specific classification for different businesses。

关键词： Computer vision Sheep breed classification Image processing Transfer learning Ensemble learning Meta learner

The Pairing Analysis Improvement of Magnetized Structure in Electromagnetic Bulging Process in Case of Tube with Field Shaper

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Journal of Electromagnetic Analysis and Applications 2024年第4期16卷 43-67页

作者： Blaise Kevine Lenz Soronga Zhanqian Zhan Jing Liu Jonas Asamoah Mohamed Bangali Bangura Matala Makiese N’kodia Kambani Chrionie md.Jobayer hossain Yongdong Chen Program Debugging and Design Department Guangdong Lyric Robot Automation Co. Ltd Huizhou China Electrical and Automation Department China Three Gorges University Yichang China Electronic Department Power Electronic Research Center University of Kent Giles Ln Canterbury UK Program Debugging Department Guangdong Lyric Robot Automation Co. Ltd. Huizhou China Electrical and Computer Engineering Department South China University of Technology Guangzhou China World Standardization Certification and Testing Group (Shenzhen) Co. Ltd. Shenzhen China Electrical Engineering-Power System Mapon University Kindu Democratic Republic of Congo Department of Economy Managment School of Management Computer and Telecomunication Rabbat Marocco Materials Visual Calibration Department Guangdong Lyric Robot Automation Co. Ltd. Huizhou China Program Design Department Guangdong Lyric Robot Automation Co. Ltd. Huizhou China

In the current practical science, the accuracy in the formability of metal alloys being the goal when using electromagnetic forming (EMF) technology, which is a high-speed processing technology that uses Lorentz forces to achieve plastic deformation of sheet metal;according to the previous analysis, the results have shown that in most cases, the Lorentz force acting on the workpiece (metal) is not uniform, there are uneven axial deformations of the metal plates which prevent the rapid advancement of today’s technology. In this article, we presented some advanced analyzes which will lead us to improve the technical solution for the problems of non-uniform axial deformations of the metals in the traditional tube electromagnetic forming technology (EMF). A field shaper is used as a practical forming tool to influence the magnetic field and magnetic pressure distribution, thereby improving the forming ability and result during the electromagnetic forming (EMF) process and we see that induced eddy current control is realized by changing the structural parameters of the magnetic field shaper;which improves the strength and controllability of the magnetic force that acts on the workpiece;thereby a greater radial magnetic pressure can be achieved with field shaper than the case without it;the field shaper regulates the electromagnetic force, the distribution of the magnetic pressure decreases, and the uniform force area of the tube increases which effectively enhances the uniform range of the pipe electromagnetic bulging and the electromagnetic induction coupling between the coil and the metallic workpiece is generally required to produce the Lorentz forces. Using COMSOL Multiphysics® simulation software helped us to accurately represent the real world, simulating multiple physical effects that happened in this model during the process.

关键词： Electromagnetic Forming Field Shaper Lorentz Force Magnetic Pressure Distribution

Prevalence of Mastitis and Associated Risk Factors in Lactating Camels (Camelus Dromedarius) on Dairy Farms in Benadir Region, Somalia

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Open Journal of Veterinary Medicine 2024年第6期14卷 111-123页

作者： Shafii Abdullahi Mohamed Mahad Mohamud Abdi Abdiaziz Idiris Mohamud Yonis Abukar Mohamed Ahmed Ali Omar Abdirahman Barre Chandra Shaker Chouhan md. Amimul Ehsan Faculty of Veterinary Science Benadir University Mogadishu Somalia Faculty of Veterinary Medicine and Animal Husbandry Somali National University Mogadishu Somalia Somali Animal Welfare Society (SAWS) Mogadishu Somalia Camel Research Center Mogadishu Somalia Department of Medicine Faculty of Veterinary Science Bangladesh Agricultural University Mymensingh Bangladesh

The study took a comprehensive approach to understanding mastitis in lactating camels, a disease that significantly impacts milk quantity and quality. This complex and multifactorial disease poses a significant challenge to dairy camel farming, particularly in Somalia. The studys objective was to determine the prevalence of mastitis and the risk factors associated with it among lactating camels on dairy farms in Benadir, Somalia. To achieve this, a cross-sectional study was conducted from May to September 2022 in the Benadir region of Somalia. A total of 96 lactating camels underwent examination using the California Mastitis Test (CMT) to identify clinical and subclinical mastitis cases. Additionally, a questionnaire survey was conducted among 20 farm employees/owners to gather information on hygiene practices, parity, lactation stage, tick infestation, and the presence of udder/teat lesions. Data regarding parity and lactation stage were obtained through owner interviews. The data collected on specifically designed forms were recorded and entered into a Microsoft Excel spreadsheet for analysis using SPSS version 20 statistical software, ensuring a comprehensive and reliable analysis of the data. The studys findings revealed a significant prevalence of camel mastitis, with 34.4% (33/96) of lactating camels affected and clinical and subclinical cases constituting 5.2% and 29.2%, respectively. Quarter-level prevalence was 46.3%, with clinical and subclinical mastitis at 4.7% and 41.6%, respectively. The study also identified significant associations (P < 0.05) among risk factors such as stage of lactation, parity, and age, indicating a higher susceptibility to mastitis in older camels during early lactation compared to those in late lactation and younger camels. These findings underscore the crucial role of inadequate hygienic conditions on camel farms and udder tick infestations in driving the elevated prevalence of mastitis, highlighting the need for improved manage

关键词： Mastitis Camel Prevalence Risk Factors Somalia

Effectiveness of hybrid ensemble machine learning models for landslide susceptibility analysis:Evidence from Shimla district of North-west Indian Himalayan region

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Journal of Mountain Science 2024年第7期21卷 2368-2393页

作者： SHARMA Aastha SAJJAD Haroon RAHAMAN md.Hibjur SAHA Tamal Kanti BHUYAN Nirsobha Department of Geography Faculty of SciencesJamia Millia IslamiaNew Delhi-110025India

The Indian Himalayan region is frequently experiencing climate change-induced ***,landslide susceptibility assessment assumes greater significance for lessening the impact of a landslide *** paper makes an attempt to assess landslide susceptibility in Shimla district of the northwest Indian Himalayan *** examined the effectiveness of random forest(RF),multilayer perceptron(MLP),sequential minimal optimization regression(SMOreg)and bagging ensemble(B-RF,BSMOreg,B-MLP)models.A landslide inventory map comprising 1052 locations of past landslide occurrences was classified into training(70%)and testing(30%)*** site-specific influencing factors were selected by employing a multicollinearity *** relationship between past landslide occurrences and influencing factors was established using the frequency ratio *** effectiveness of machine learning models was verified through performance *** landslide susceptibility maps were validated by the area under the receiver operating characteristic curves(ROC-AUC),accuracy,precision,recall and *** key performance metrics and map validation demonstrated that the BRF model(correlation coefficient:0.988,mean absolute error:0.010,root mean square error:0.058,relative absolute error:2.964,ROC-AUC:0.947,accuracy:0.778,precision:0.819,recall:0.917 and F-1 score:0.865)outperformed the single classifiers and other bagging ensemble models for landslide *** results show that the largest area was found under the very high susceptibility zone(33.87%),followed by the low(27.30%),high(20.68%)and moderate(18.16%)susceptibility *** factors,namely average annual rainfall,slope,lithology,soil texture and earthquake magnitude have been identified as the influencing factors for very high landslide *** texture,lineament density and elevation have been attributed to high and moderate ***,the study calls for devising suitable landslide mitig

关键词： Landslide susceptibility Site-specific factors Machine learning models Hybrid ensemble learning Geospatial techniques Himalayan region

Early Warning Smartphone Diagnostics for Water Security and Analysis Using Real-Time pH Mapping

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Photonic Sensors 2015年第4期5卷 289-297页

作者： md. Arafat hossain John CANNING Sandra AST Peter J. RUTLEDGE Abbas JAMALIPOUR interdisciplinary Photonics Laboratories (iPL) School of Chemistry The University of Sydney NSW 2006 Australia School of Chemistry The University of Sydney NSW 2006 Australia Wireless Networking Group (WING) School of Electrical and Information Engineering The University of Sydney NSW2006 Australia

Early detection of environmental disruption, unintentional or otherwise, is increasingly desired to ensure hazard minimization in many settings. Here, using a field-portable, smartphone fluorimeter to assess water quality based on the pH response of a designer probe, a map of pH of public tap water sites has been obtained. A custom designed Android application digitally processed and mapped the results utilizing the global positioning system （GPS） service of the smartphone. The map generated indicates no disruption in pH for all sites measured, and all the data are assessed to fall inside the upper limit of local government regulations, consistent with authority reported measurements. This implementation demonstrates a new security concept： network environmental forensics utilizing the potential of novel smartgrid analysis with wireless sensors for the detection of potential disruption to water quality at any point in the city. This concept is applicable across all smartgrid strategies within the next generation of the Internet of Things and can be extended on national and global scales to address a range of target analytes, both chemical and biological.

关键词： Lab-in-a-phone Intemet of Things optical sensing and sensor smartphone sensor photonic sensor fluorescence water security

Glucagon-like-peptide-1 receptor agonists and the management of type 2 diabetes-backwards and forwards

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World Journal of Diabetes 2024年第3期15卷 326-330页

作者： Michael Horowitz Lu Cai md.Shahidul Islam Department of Medicine University of AdelaideAdelaide 5005Australia Pediatric Research Institute University of LouisvilleLouisvilleKY 40202United States Department of Biochemistry School of Life SciencesUniversity of KwaZulu-NatalDurban 4000KwaZulu-NatalSouth Africa

This editorial is stimulated by the article by Alqifari et al published in the World Journal of Diabetes(2024).Alqifari et al focus on practical advice for the clinical use of glucagon-like-peptide-1(GLP-1)receptor agonists(GLP-1RAs)in the management of type 2 diabetes and this editorial provides complementary *** initially give a brief historical perspective of the development of GLP-1RAs stimulated by recognition of the‘incretin effect’,the substantially greater insulin increase to enteral when compared to euglycaemic intravenous glucose,and the identification of the incretin hormones,GIP and *** addition to stimulating insulin,GLP-1 reduces postprandial glucose levels by slowing gastric ***-1RAs were developed because native GLP-1 has a very short plasma *** majority of current GLP-1RAs are administered by subcutaneous injection once a *** are potent in glucose lowering without leading to hypoglycaemia,stimulate weight loss in obese individuals and lead to cardiovascular and renal *** landscape in relation to GLP-1RAs is broadening rapidly,with different formulations and their combination with other peptides to facilitate both glucose lowering and weight *** is a need for more information relating to the effects of GLP-1RAs to induce gastrointestinal symptoms and slow gastric emptying which is likely to allow their use to become more effective and personalised.

关键词： Glucagon-like-peptide-1 Glucose-dependent insulinotropic peptide Gastric emptying Type 2 diabetes

Learning from the COVID-19 pandemic:A systematic review of mathematical vaccine prioritization models

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Infectious Disease Modelling 2024年第4期9卷 1057-1080页

作者： Gilberto Gonzalez-Parra md.Shahriar Mahmud Claus Kadelka Instituto de Matematica Multidisciplinar Universitat Politecnica de ValenciaValenciaSpain Department of Mathematics New Mexico Tech801 Leroy PlaceSocorro87801NMUSA Department of Mathematics Iowa State University411 Morrill RdAmes50011IAUSA

As the world becomes ever more connected,the chance of pandemics increases as *** recent COVID-19 pandemic and the concurrent global mass vaccine roll-out provides an ideal setting to learn from and refine our understanding of infectious disease models for better future *** this review,we systematically analyze and categorize mathematical models that have been developed to design optimal vaccine prioritization strategies of an initially limited *** older individuals are disproportionately affected by COVID-19,the focus is on models that take age explicitly into *** lower mobility and activity level of older individuals gives rise to non-trivial *** research questions concern the optimal time interval between vaccine doses and spatial vaccine *** review showcases the effect of various modeling assumptions on model outcomes.A solid understanding of these relationships yields better infectious disease models and thus public health decisions during the next pandemic.

关键词： Review Mathematical model Age COVID-19 Vaccine allocation Vaccine roll-out

Photon orbits and phase transition for Letelier AdS black holes immersed in perfect fluid dark matter

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Chinese Physics C 2024年第6期48卷 247-259页

作者： Ashima Sood md.Sabir Ali J.K.Singh Sushant G.Ghosh Department of Mathematics Netaji Subhas University of TechnologyNew Delhi-110078India Centre for Theoretical Physics Jamia Millia IslamiaNew Delhi 110025India Department of Physics Mahishadal Raj CollegePurba MedinipurWest Bengal721628India Institute of Theoretical Physics&Research Center of Gravitation Lanzhou UniversityLanzhou 730000China Key Laboratory of Quantum Theory and Applications of MoE Lanzhou UniversityLanzhou 730000China Lanzhou Center for Theoretical Physics&Key Laboratory of Theoretical Physics of Gansu Province Lanzhou UniversityLanzhou 730000China Astrophysics and Cosmology Research Unit School of MathematicsStatistics and Computer ScienceUniversity of KwaZulu-NatalPrivate Bag X54001Durban 4000South Africa

We obtain an exact solution for spherically symmetric Letelier AdS black holes immersed in perfect fluid dark matter(PFDM).Considering the cosmological constant as the positive pressure of the system and volume as its conjugate variable,we analyze the thermodynamics of our black holes in the extended phase *** to the background clouds of strings parameter(a)and the parameter endowed with PFDM(β),we analyze the Hawking temperature,entropy,and specific ***,we investigate the relationship between the photon sphere radius and phase transition for the Letelier AdS black holes immersed in *** the analysis,with a particular condition,non-monotonic behaviors are found between the photon sphere radius,impact parameter,PFDM parameter,temperature,and *** can regard the changes in both the photon sphere radius and impact parameter before and after phase transition as the order parameter;their critical exponents near the critical point are equal to the same value,1/2,similar to that in ordinary thermal *** indicates that a universal relation of gravity may exist near the critical point for a black hole thermodynamic system.

关键词： AdS black holes perfect fluid dark matter Letelier spacetime photon orbit extended phase space thermodynamics correlation of photon orbit and thermodynamics

Influence of waning immunity on vaccination decision-making:A multi-strain epidemic model with an evolutionary approach analyzing cost and efficacy

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Infectious Disease Modelling 2024年第3期9卷 657-672页

作者： md.Mamun-Ur-Rashid Khan Jun Tanimoto Interdisciplinary Graduate School of Engineering Sciences Kyushu UniversityKasuga-koenKasuga-shiFukuoka816-8580Japan Faculty of Engineering Sciences Kyushu UniversityKasuga-koenKasuga-shiFukuoka816-8580Japan Department of Mathematics University of DhakaDhaka1000Bangladesh

In this research,we introduce a comprehensive epidemiological model that accounts for multiple strains of an infectious disease and two distinct vaccination *** stands out as the most effective means to prevent and manage infectious ***,when there are various vaccines available,each with its costs and effectiveness,the decision-making process for individuals becomes ***,the factor of waning immunity following vaccination also plays a significant role in influencing these *** understand how individuals make decisions in the context of multiple strains and waning immunity,we employ a behavioral model,allowing an epidemiological model to be coupled with the dynamics of a decision-making *** base their choice of vaccination on factors such as the total number of infected individuals and the cost-effectiveness of the *** findings indicate that as waning immunity increases,people tend to prioritize vaccines with higher costs and greater ***,when more contagious strains are present,the equilibrium in vaccine adoption is reached more ***,we delve into the social dilemma inherent in our model by quantifying the social efficiency deficit(SED)under various parameter combinations.

关键词： Multistrain epidemic model Vaccination Behavior dynamics Waning immunity Social dilemma