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Semantic Segmentation and YOLO Detector over Aerial Vehicle Images

Computers, Materials & Continua 2024年第8期80卷 3315-3332页

作者： Asifa Mehmood Qureshi Abdul Haleem Butt Abdulwahab Alazeb Naif Al Mudawi mohammad Alonazi Nouf Abdullah Almujally Ahmad Jalal Hui Liu Faculty of Computing and AI Air UniversityIslamabad44000Pakistan Department of Computer Science College of Computer Science and Information SystemNajran UniversityNajran55461Saudi Arabia Department of Information Systems College of Computer Engineering and SciencesPrince Sattam bin Abdulaziz UniversityAl-Kharj16273Saudi Arabia Department of Information Technology College of Computer and Information SciencesPrincess Nourah bint Abdulrahman UniversityP.O.Box 84428Riyadh11671Saudi Arabia Cognitive Systems Lab University of BremenBremen28359Germany

Intelligent vehicle tracking and detection are crucial tasks in the realm of highway ***,vehicles come in a range of sizes,which is challenging to detect,affecting the traffic monitoring system’s overall *** learning is considered to be an efficient method for object detection in vision-based *** this paper,we proposed a vision-based vehicle detection and tracking system based on a You Look Only Once version 5(YOLOv5)detector combined with a segmentation *** model consists of six *** the first step,all the extracted traffic sequence images are subjected to pre-processing to remove noise and enhance the contrast level of the *** pre-processed images are segmented by labelling each pixel to extract the uniform regions to aid the detection phase.A single-stage detector YOLOv5 is used to detect and locate vehicles in *** detection was exposed to Speeded Up Robust Feature(SURF)feature extraction to track multiple *** on this,a unique number is assigned to each vehicle to easily locate them in the succeeding image frames by extracting them using the feature-matching ***,we implemented a Kalman filter to track multiple *** the end,the vehicle path is estimated by using the centroid points of the rectangular bounding box predicted by the tracking *** experimental results and comparison reveal that our proposed vehicle detection and tracking system outperformed other state-of-the-art *** proposed implemented system provided 94.1%detection precision for Roundabout and 96.1%detection precision for Vehicle Aerial Imaging from Drone(VAID)datasets,respectively.

关键词： Semantic segmentation YOLOv5 vehicle detection and tracking Kalman filter SURF

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Magnificent Frigatebird Optimization: A New Bio-Inspired Metaheuristic Approach for Solving Optimization Problems

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Computers, Materials & Continua 2024年第8期80卷 2721-2741页

作者： Tareq Hamadneh Khalid Kaabneh Ibraheem AbuFalahah Gulnara Bektemyssova Galymzhan Shaikemelev Dauren Umutkulov Sayan Omarov Zeinab Monrazeri Frank Werner mohammad Dehghani Department of Mathematics Al Zaytoonah University of JordanAmman11733Jordan Faculty of Information Technology Al-Ahliyya Amman UniversityAmman19328Jordan Department of Mathematics Faculty of ScienceThe Hashemite UniversityP.O.Box 330127Zarqa13133Jordan Department of Computer Engineering International Information Technology UniversityAlmaty050000Kazakhstan Department of Big Data Analytics and Data Science Software Development Company《QazCode》Almaty050063Kazakhstan Department of Electrical and Electronics Engineering Shiraz University of TechnologyShiraz***Iran Faculty of Mathematics Otto-von-Guericke UniversityP.O.Box 4120Magdeburg39016Germany

This paper introduces a groundbreaking metaheuristic algorithm named Magnificent Frigatebird Optimization(MFO),inspired by the unique behaviors observed in magnificent frigatebirds in their natural *** foundation of MFO is based on the kleptoparasitic behavior of these birds,where they steal prey from other *** this process,a magnificent frigatebird targets a food-carrying seabird,aggressively pecking at it until the seabird drops its *** frigatebird then swiftly dives to capture the abandoned prey before it falls into the *** theoretical framework of MFO is thoroughly detailed and mathematically represented,mimicking the frigatebird’s kleptoparasitic behavior in two distinct phases:exploration and *** the exploration phase,the algorithm searches for new potential solutions across a broad area,akin to the frigatebird scouting for vulnerable *** the exploitation phase,the algorithm fine-tunes the solutions,similar to the frigatebird focusing on a single target to secure its *** evaluate MFO’s performance,the algorithm is tested on twenty-three standard benchmark functions,including unimodal,high-dimensional multimodal,and fixed-dimensional multimodal *** results from these evaluations highlight MFO’s proficiency in balancing exploration and exploitation throughout the optimization *** studies with twelve well-known metaheuristic algo-rithms demonstrate that MFO consistently achieves superior optimization results,outperforming its competitors across various *** addition,the implementation of MFO on four engineering design problems shows the effectiveness of the proposed approach in handling real-world applications,thereby validating its practical utility and robustness.

关键词： Optimization metaheuristic magnificent frigatebirds exploration exploitation

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Performance Comparison of Hyper-V and KVM for Cryptographic Tasks in Cloud Computing

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Computers, Materials & Continua 2024年第2期78卷 2023-2045页

作者： Nader Abdel Karim Osama A.Khashan Waleed K.Abdulraheem Moutaz Alazab Hasan Kanaker Mahmoud E.Farfoura mohammad Alshinwan Department of Intelligent Systems Faculty of Artificial IntelligenceAl-Balqa Applied UniversityAl-Salt1705Jordan Research and Innovation Centers Rabdan AcademyP.O.Box 114646Abu DhabiUnited Arab Emirates Department of Information Systems and Networks TheWorld Islamic Sciences and Education UniversityAmman11947Jordan Department of Cyber Security Isra UniversityAmman1162Jordan Faculty of Science and Information Technology Al-Zaytoonah University of JordanAmman11733Jordan Middle East University Research Unit Middle East UniversityAmman11831Jordan

As the extensive use of cloud computing raises questions about the security of any personal data stored there,cryptography is being used more frequently as a security tool to protect data confidentiality and privacy in the cloud environment.A hypervisor is a virtualization software used in cloud hosting to divide and allocate resources on various pieces of *** choice of hypervisor can significantly impact the performance of cryptographic operations in the cloud *** important issue that must be carefully examined is that no hypervisor is completely superior in terms of performance;Each hypervisor should be examined to meet specific *** main objective of this study is to provide accurate results to compare the performance of Hyper-V and Kernel-based Virtual Machine(KVM)while implementing different cryptographic algorithms to guide cloud service providers and end users in choosing the most suitable hypervisor for their cryptographic *** study evaluated the efficiency of two hypervisors,Hyper-V and KVM,in implementing six cryptographic algorithms:Rivest,Shamir,Adleman(RSA),Advanced Encryption Standard(AES),Triple Data Encryption Standard(TripleDES),Carlisle Adams and Stafford Tavares(CAST-128),BLOWFISH,and *** study’s findings show that KVM outperforms Hyper-V,with 12.2%less Central Processing Unit(CPU)use and 12.95%less time overall for encryption and decryption operations with various file *** study’s findings emphasize how crucial it is to pick a hypervisor that is appropriate for cryptographic needs in a cloud environment,which could assist both cloud service providers and end *** research may focus more on how various hypervisors perform while handling cryptographic workloads.

关键词： Cloud computing performance virtualization hypervisors Hyper-V KVM cryptographic algorithm

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Population genetic insights into the conservation of common walnut(Juglans regia)in Central Asia

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Plant Diversity 2024年第5期46卷 600-610页

作者： Linjiang Ye Robabeh Shahi Shavvon Hailing Qi Hongyu Wu Pengzhen Fan mohammad Nasir Shalizi Safiullah Khurram Mamadzhanov Davletbek Yerlan Turuspekov Jie Liu CAS Key Laboratory for Plant Diversity and Biogeography of East Asia Kunming Institute of BotanyChinese Academy of SciencesKunming 650201YunnanChina Key Laboratory of Plant Resources and Biodiversity of Jiangxi Province Jingdezhen UniversityJingdezhen 333400JiangxiChina Germplasm Bank of Wild Species&Yunnan Key Laboratory of Crop Wild Relatives Omics Kunming Institute of BotanyChinese Academy of SciencesKunming 650201YunnanChina Department of Biology Faculty of ScienceYasouj UniversityYasouj 75918-74934Iran University of Chinese Academy of Sciences Beijing 100049China Department of Forestry and Environmental Resources North Carolina State UniversityRaleighNC 27695United States Department of Forestry and Natural Resources Faculty of AgricultureKabul UniversityKabul D-1006Afghanistan National Academy of Science of the Kyrgyz Republic Jalal-Abad Scientific CenterJalal-Abad 715600Kyrgyzstan Laboratory of Molecular Genetics Institute of Plant Biology and BiotechnologyAlmaty 050040Kazakhstan

The common walnut(Juglans regia)is one of the most economically important nut trees cultivated *** its importance,no comprehensive evaluation of walnut tree population genetics has been undertaken across the range where it originated,Central *** this study,we investigated the genetic diversity and population structure of 1082 individuals from 46 populations across Central *** found moderate genetic diversity of *** across Central Asia,with 46 populations clustered into three groups with a weak relationship between genetic and geographic *** findings reveal that the western Himalaya might be the core region of common walnut genetic diversity in Central Asia and that,except for two populations in Gongliu Wild Walnut Valley,humans might have introduced walnut populations to Xinjiang,*** observed distribution of the genetic landscape has probably been affected by historical climate fluctuation,breeding system,and prolonged anthropogenic *** propose the conservation of the core genetic diversity resources in the western Himalaya and pay special attention to populations from Gongliu in *** findings enhance our understanding of the genetic variation throughout the distribution range of *** in Central Asia,which will provide a key prerequisite for evidence-based conservation and management.

关键词： Central Asia Genetic diversity Germplasm management Gongliu wild walnut valley Juglans regia Western Himalaya

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Liver Characterization of a Cohort of Alpha-1 Antitrypsin Deficiency Patients with and without Lung Disease

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Journal of Clinical and Translational Hepatology 2024年第10期12卷 845-856页

作者： Naweed mohammad Regina Oshins Tongjun Gu Virginia Clark Jorge Lascano Naziheh Assarzadegan George Marek Mark Brantly Nazli Khodayari Division of Pulmonary Critical Care and Sleep MedicineCollege of MedicineUniversity of FloridaGainesvilleFLUSA Interdisciplinary Center for Biotechnology Research Bioinformatics CoreUniversity of FloridaGainesvilleFLUSA Division of Gastroenterology Hepatology and NutritionCollege of MedicineUniversity of FloridaGainesvilleFLUSA Division of Pathology Immunologyand Laboratory MedicineCollege of MedicineUniversity of FloridaGainesvilleFLUSA Division of Gastroenterology and Hepatology Mayo ClinicRochesterMNUSA

Background and Aims:Alpha-1 antitrypsin deficiency(AATD)is a genetic disorder characterized by the misfolding and accumulation of the mutant variant of alpha-1 antitrypsin(AAT)within hepatocytes,which limits its access to the circulation and exposes the lungs to protease-mediated tissue *** results in progressive liver disease secondary to AAT polymerization and accumulation,and chronic obstructive pulmonary disease(COPD)due to deficient levels of AAT within the *** goal was to characterize the unique effects of COPD secondary to AATD on liver disease and gene ***:A subcohort of AATD individuals with COPD(n=33)and AATD individuals without COPD(n=14)were evaluated in this study from our previously reported cross-sectional *** used immunohistochemistry to assess the AATD liver phenotype,and RNA sequencing to explore liver *** observed a distinct transcriptomic profile in liver tissues from AATD individuals with COPD compared to those ***:A total of 339 genes were differentially *** pathways related to fibrosis,extracellular matrix remodeling,collagen deposition,hepatocellular damage,and inflammation were significantly upregulated in the livers of AATD individuals with *** analysis also revealed higher levels of fibrosis and hepatocellular damage in these ***:Our data supports a relationship between the development of COPD and liver disease in AATD and introduces genes and pathways that may play a role in AATD liver disease when COPD is *** believe addressing lung impairment and airway inflammation may be an approach to managing AATD-related liver disease.

关键词： Alpha-1 antitrypsin deficiency Chronic obstructive pulmonary disease Liver fibrosis Liver biopsy Liver histology Transcriptomics

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Machine learning-based multi-objective optimization and thermal assessment of supercritical CO_(2) Rankine cycles for gas turbine waste heat recovery

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Energy and AI 2024年第2期16卷 363-384页

作者： Asif Iqbal Turja Ishtiak Ahmed Khan Sabbir Rahman Ashraf Mustakim mohammad Ishraq Hossain M Monjurul Ehsan Yasin Khan Department of Mechanical and Production Engineering(MPE) Islamic University of Technology(IUT)Board BazarGazipur1704Bangladesh

Technologies for utilizing waste heat for power generation have attracted significant attention in recent years due to their potential to enhance energy efficiency and reduce greenhouse gas *** research focuses on the comparative and optimization analysis of three supercritical carbon dioxide(sCO_(2))Rankine cycles(simple,cascade,and split)for gas turbine waste heat *** study begins with parametric analysis,investigating the significant effects of key variables,including turbine inlet temperature,condenser inlet temperature,and pinch point temperature,on the thermal performance of advanced sCO_(2) power *** identify the most efficient cycle configuration,a multi-objective optimization approach is *** approach combines a Genetic Algorithm with machine learning regression models(Random Forest,XGBoost,Artificial Neural Network,Ridge Regression,and K-Nearest Neighbors)to predict cycle performance using a dataset extracted from cycle *** decision-making process for determining the optimal cycle configuration is facilitated by the TOPSIS(technique for order of preference by similarity to the ideal solution)*** study's major findings reveal that the split cycle outperforms the simple and cascade configurations in terms of power generation across various operating *** optimized split cycle not only demonstrates superior power output but also exhibits enhanced net power output,heat recovery,system and exergy efficiency of 7.99 MW,76.17%,26.86%and 57.96%,respectively,making it a promising choice for waste heat recovery *** research has the potential to contribute to the advancement and widespread adoption of waste heat recovery in energy technologies boosting system efficiency and economic *** provides a new perspective for future research,contributing to the improvement of energy generation infrastructure.

关键词： Supercritical co2 Rankine cycle Waste heat recovery Gas turbine Thermodynamic analysis Machine Learning Optimization

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Mixed Neuroendocrine-Non-Neuroendocrine Neoplasm (MiNEN) of the Colon: A Case Report

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Open Journal of Pathology 2024年第1期14卷 16-24页

作者： Amira mohammad Azah Syahrina Alias Department of Pathology Hospital Sultanah Aminah Johor Bahru Johor Malaysia

Here we report a rare case of mixed neuroendocrine-non-neuroendocrine neoplasms (MiNENs). A 51-year-old lady with no known family history of malignancies developed this rare type of malignancy without any active gastrointestinal symptoms. However, during a routine health check, physicians noticed a raised Carcinoembryonic Antigen (CEA) level and the patient subsequently was referred to the surgical department for further management. A colonoscopy and CECT abdomen were done and she was electively admitted for a left hemicolectomy operation for a splenic flexure tumour. The histopathological report revealed the tumour is a case of mixed neuroendocrine-non-neuroendocrine neoplasms (MiNENs) [moderately differentiated adenocarcinoma and neuroendocrine tumour grade 3]. TNM (8th edition, 2016): pT3, pN2 (20/21), pMX. Both resection margins were clear from malignant cells. Colorectal MiNENs, constitute a rare group of gastrointestinal tumours composed of both neuroendocrine and non-neuroendocrine components. Given their non-diagnostic macroscopic features, specific histological features and lack of disease awareness which are responsible for the underestimated incidence and conflicting data. In this case, a multidisciplinary team approach is important in managing patients with this malignancy to achieve the best outcome.

关键词： Mixed Neuroendocrine-Non-Neuroendocrine Neoplasms (MiNENs) Contrast-Enhanced Computed Tomography (CECT) Carcinoembryonic Antigen (CEA)

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A robust predictive tool for estimating CO2 solubility in potassium based amino acid salt solutions

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Chinese Journal of Chemical Engineering 2018年第4期26卷 740-746页

作者： Ebrahim Soroush Shohreh shahsavari mohammad Mesbah Mashallah Rezakazemi Zhi'en Zhang Young Researchers and Elites Club Ahvaz Branch Islamic Azad University Ahvaz Iran Department of Cheraical Engineering Sahand University of Technology Tabriz Iran Young Researchers and Elites Club Science and Research Branch Islaraic Azad University Tehran Iran Department of Cheraical Engineering Shahraod University of Technology Shahrood Iran School of Cheraistry and Chemical Engineering Chongqing University of Technology Chongqing 400054 China Key Laboratory of Low-grade Energy Utilization Technologies and Systems Ministry of Education of China Chongqing University Chongqing 400044 China

The acid gas absorption in four potassium based amino acid salt solutions was predicted using artificial neural network(ANN). Two hundred fifty-five experimental data points for CO_2 absorption in the four potassium based amino acid salt solutions containing potassium lysinate, potassium prolinate, potassium glycinate, and potassium taurate were used in this modeling. Amine salt solution's type, temperature, equilibrium partial pressure of acid gas, the molar concentration of the solution, molecular weight, and the boiling point were considered as inputs to ANN to prognosticate the capacity of amino acid salt solution to absorb acid gas. Regression analysis was employed to assess the performance of the network. Levenberg–Marquardt back-propagation algorithm was used to train the optimal ANN with 5:12:1 architecture. The model findings indicated that the proposed ANN has the capability to predict precisely the absorption of acid gases in various amino acid salt solutions with Mean Square Error(MSE) value of 0.0011, the Average Absolute Relative Deviation(AARD) percent of 5.54%,and the correlation coefficient(R^2) of 0.9828.

关键词： Amino acid salt solutions Acid gas absorption Neural network CO2 capture

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Special Column on Recent Advances in PCMs as Thermal Energy Storage in Energy Systems

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Journal of Thermal Science 2024年第2期33卷 395-395页

作者： mohammad Hossein AHMADI Tingzhen MING Marc A.ROSEN S.A.SHERIF mohammad Mehdi RASHIDI Shahrood University of Technology Iran Wuhan University of Technology China University of Ontario Institute of Technology Canada University of Florida USA University of Electronic Science and Technology of China China

Thermal energy storage technology has the advantages of high energy storage density,small size,and high energy conversion *** is one of the key energy storage technologies and an important way to achieve carbon peaking and carbon neutrality *** change materials (PCMs) offer this opportunity to store high amount of energy and release it in the form of latent heat when needed,and therefore have the advantage of being capable to alleviate the intrinsic intermittency of renewable power production,especially in wind and solar farms.

关键词： efficiency store latent

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3D打印和电沉积多层超轻夹层板的力学性能和能量吸收性能

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Transactions of Nonferrous Metals Society of China 2024年第1期34卷 255-264页

作者： Mehrnoosh HOSSEINPOUR Salar ROHANI NEJAD Seyed mohammad Hossein MIRBAGHERI Department of Materials and Metallurgical Engineering Amirkabir University of TechnologyHafez St.Tehran15875-4413Iran

研究由开孔聚合物和金属/聚合物泡沫芯制成的轻质夹层板的力学性能和能量吸收性能。通过结合聚合物树脂的增材制造和三层金属(Ni/Ni-Cu/Ni)的电沉积制备多层夹层板,每英寸孔数(PPI)为4、5和6。测试样品在单轴压缩变形过程中的屈服强度,... 详细信息

研究由开孔聚合物和金属/聚合物泡沫芯制成的轻质夹层板的力学性能和能量吸收性能。通过结合聚合物树脂的增材制造和三层金属(Ni/Ni-Cu/Ni)的电沉积制备多层夹层板,每英寸孔数(PPI)为4、5和6。测试样品在单轴压缩变形过程中的屈服强度,计算其能量吸收密度、互补能和比吸收能(SEA)。结果表明,与相同厚度的纯Ni和Cu夹层板相比,复合夹层板的性能有明显改善。增加PPI和金属层可提高力学性能和能量吸收性能,当PPI为6时,屈服强度(能量吸收密度)由聚合物夹层板的0.12 MPa(0.12MJ/m^(3))提高到三层金属夹层板的1.83MPa(0.67 MJ/m^(3))。对夹层板结构归一化能量的研究表明,夹层板具有可预测的塑性变形行为,多金属层改善了新型夹层板的力学性能。其能量吸收性能的显著增强可保证材料在不同行业的独特应用。

关键词：夹层板能量吸收金属泡沫 Voronoi结构增材制造金属电层级

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