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Redundant Transmission Control Algorithm for Information-Centric Vehicular IoT Networks

Computers, Materials & Continua 2023年第8期76卷 2217-2234页

作者： Abdur rashid Sangi Satish Anamalamudi Mohammed SAlkatheiri Murali Krishna Enduri Anil Carie Mohammed AAlqarni Department of Computer Science College of Science and TechnologyWenzhou-Kean UniversityWenzhou325060China Department of Computer Science Engineering SRM University APAmaravati522502India Department of Cybersecurity College of Computer Science&EngineeringUniversity of JeddahJeddahSaudi Arabia Department of Software Engineering College of Computer Science&EngineeringUniversity of JeddahJeddahSaudi Arabia

Vehicular Adhoc Networks(VANETs)enable vehicles to act as mobile nodes that can fetch,share,and disseminate information about vehicle safety,emergency events,warning messages,and passenger ***,the continuous dissemination of information fromvehicles and their one-hop neighbor nodes,Road Side Units(RSUs),and VANET infrastructures can lead to performance degradation of VANETs in the existing hostcentric IP-based ***,Information Centric Networks(ICN)are being explored as an alternative architecture for vehicular communication to achieve robust content distribution in highly mobile,dynamic,and errorprone *** ICN-based Vehicular-IoT networks,consumer mobility is implicitly supported,but producer mobility may result in redundant data transmission and caching inefficiency at intermediate vehicular *** paper proposes an efficient redundant transmission control algorithm based on network coding to reduce data redundancy and accelerate the efficiency of information *** proposed protocol,called Network Cording Multiple Solutions Scheduling(NCMSS),is receiver-driven collaborative scheduling between requesters and information sources that uses a global parameter expectation deadline to effectively manage the transmission of encoded data packets and control the selection of information *** results for the proposed NCMSS protocol is demonstrated to analyze the performance of ICN-vehicular-IoT networks in terms of caching,data retrieval delay,and end-to-end application *** end-to-end throughput in proposed NCMSS is 22%higher(for 1024 byte data)than existing solutions whereas delay in NCMSS is reduced by 5%in comparison with existing solutions.

关键词： Caching data dissemination redundancy control ICN-vehicular IoT networks

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Evolution of human kidney allograft pathology diagnostics through 30 years of the Banff classification process

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World Journal of Transplantation 2023年第5期13卷 221-238页

作者： Muhammed Mubarak Amber Raza Rahma rashid Shaheera Shakeel Department of Histopathology Sindh Institute of Urology and TransplantationKarachi 74200SindhPakistan Department of Nephrology Sindh Institute of Urology and TransplantationKarachi 74200SindhPakistan

The second half of the previous century witnessed a tremendous rise in the number of clinical kidney transplants *** activity was,however,accompanied by many issues and *** accurate diagnosis and appropriate management of causes of graft dysfunction were and still are,a big *** allograft biopsy played a vital role in addressing the above ***,its interpretation was not standardized for many years until,in 1991,the Banff process was started to fill this ***,regular Banff meetings took place every 2 years for the past 30 *** changes have taken place in the interpretation of kidney allograft biopsies,diagnosis,and classification of rejection and other non-rejection pathologies from the original Banff 93 *** review attempts to summarize those changes for increasing the awareness and understanding of kidney allograft pathology through the eyes of the Banff *** will interest the transplant surgeons,physicians,pathologists,and allied professionals associated with the care of kidney transplant patients.

关键词： Banff process Rejection Kidney allograft biopsy Transplant pathology Review

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COCP:Coupling Parameters Content Placement Strategy for In-Network Caching-Based Content-Centric Networking

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Computers, Materials & Continua 2022年第6期71卷 5523-5543页

作者： Salman rashid Shukor Abd Razak Fuad A.Ghaleb Faisal Saeed Eman H.Alkhammash School of Computing Faculty of EngineeringUniversiti Teknologi MalaysiaJohor Bahru81310Malaysia College of Computer Science and Engineering Taibah UniversityMedina 42353Saudi Arabia Department of Computer Science College of Computers and Information TechnologyTaif UniversityTaif21944Saudi Arabia

On-path caching is the prominent module in Content-Centric Networking(CCN),equipped with the capability to handle the demands of future networks such as the Internet of Things(IoT)and vehicular *** main focus of the CCN caching module is data dissemination within the *** of the existing strategies of in-network caching in CCN store the content at the maximumnumber of routers along the downloading ***,content redundancy in the network increases significantly,whereas the cache hit ratio and network performance decrease due to the unnecessary utilization of limited cache ***,content redundancy adversely affects the cache resources,hit ratio,latency,bandwidth utilization,and server *** proposed an in-network caching placement strategy named Coupling Parameters to Optimize Content Placement(COCP)to address the content redundancy and associated *** novelty of the technique lies in its capability tominimize content redundancy by creating a balanced cache space along the routing path by considering request rate,distance,and available cache *** proposed approach minimizes the content redundancy and content dissemination within the network by using appropriate locations while increasing the cache hit ratio and network *** COCP is implemented in the simulator(Icarus)to evaluate its performance in terms of the cache hit ratio,path stretch,latency,and link *** experiments have been conducted to evaluate the proposed COCP *** proposed COCP technique has been compared with the existing state-of-theart techniques,namely,Leave Copy Everywhere(LCE),Leave Copy Down(LCD),ProbCache,Cache Less forMore(CL4M),and *** results obtained with different cache sizes and popularities show that our proposed caching strategy can achieve up to 91.46%more cache hits,19.71%reduced latency,35.43%improved path stretch and 38.14%decreased link *** results confirm that the proposed COCP strateg

关键词： Content-centric networking on-path caching content redundancy security privacy data dissemination internet of things

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A Drones Optimal Path Planning Based on Swarm Intelligence Algorithms

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Computers, Materials & Continua 2022年第7期72卷 365-380页

作者： Mahmoud Ragab Ali Altalbe Abdullah Saad Al-Malaise ALGhamdi SAbdel-khalek rashid A.Saeed Information Technology Department Faculty of Computing and Information TechnologyKing Abdulaziz UniversityJeddah 21589Saudi Arabia Center of Artificial Intelligence for Precision Medicines King Abdulaziz UniversityJeddah 21589Saudi Arabia Information Systems Department Faculty of Computing and Information TechnologyKing Abdulaziz UniversityJeddah 21589Saudi Arabia Department of Mathematics Faculty of ScienceAl-Azhar UniversityNaser City 11884CairoEgypt Department of Mathematics Faculty of ScienceTaif UniversityTaifSaudi Arabia Department of Mathematics Faculty of ScienceSohag UniversitySohagEgypt Department of Computer Engineering College of Computers and Information TechnologyTaif UniversityTaifSaudi Arabia

The smart city comprises various interlinked elements which communicate data and offers urban life to *** Aerial Vehicles(UAV)or drones were commonly employed in different application areas like agriculture,logistics,and *** improving the drone flying safety and quality of services,a significant solution is for designing the Internet of Drones(IoD)where the drones are utilized to gather data and people communicate to the drones of a specific flying region using the mobile devices is for constructing the Internet-of-Drones,where the drones were utilized for collecting the data,and communicate with *** addition,the SIRSS-CIoD technique derives a tuna swarm algorithm-based clustering(TSA-C)technique to choose cluster heads(CHs)and organize clusters in IoV ***,the SIRSS-CIoD technique involves the design of a biogeography-based optimization(BBO)technique to an optimum route selection(RS)*** design of clustering and routing techniques for IoD networks in smart cities shows the novelty of the study.A wide range of experimental analyses is carried out and the comparative study highlighted the improved performance of the SIRSS-CIoD technique over the other approaches.

关键词： Drones smart city swarm intelligence route selection internet of drones networking

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A Hybrid Deep Learning Approach to Classify the Plant Leaf Species

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Computers, Materials & Continua 2023年第9期76卷 3897-3920页

作者： Javed rashid Imran Khan Irshad Ahmed Abbasi Muhammad Rizwan Saeed Mubbashar Saddique Mohamed Abbas Department of CS&SE Islamic International UniversityIslamabad44000Pakistan Department of IT Services University of OkaraOkara56310Pakistan Faculty of Science and Arts Belqarn University of BishaSabtul Alaya61985Saudi Arabia Department of CS University of OkaraOkara56310Pakistan Department of Computer Science&Engineering University of Engineering&Technology LahoreNarowalCampusNarowal51601Pakistan Electrical Engineering Department College of EngineeringKing Khalid UniversityAbha61421Saudi Arabia Research Center for Advanced Materials Sciences(RCAMS) King Khalid UniversityAbhaSaudi Arabia

Many plant species have a startling degree of morphological similarity,making it difficult to split and categorize them *** plant species can be challenging to classify and segment using deep *** using deep learning architectures has helped improve classification accuracy,the resulting models often need to be more flexible and require a large dataset to *** the sake of taxonomy,this research proposes a hybrid method for categorizing guava,potato,and java *** new approaches are used to formthe hybridmodel suggested *** guava,potato,and java plum plant species have been successfully segmented using the first model built on the MobileNetV2-UNET *** a second model,we use a Plant Species Detection Stacking Ensemble Deep Learning Model(PSD-SE-DLM)to identify potatoes,java plums,and *** proposed models were trained using data collected in Punjab,Pakistan,consisting of images of healthy and sick leaves from guava,java plum,and *** datasets are known as PLSD and *** levels of 99.84%and 96.38%were achieved for the suggested PSD-SE-DLM and MobileNetV2-UNET models,respectively.

关键词： Plant leaf species stacking ensemble model guava potato java plum MobileNetV2-UNET hybrid deep learning segmentation

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Recognizing Breast Cancer Using Edge-Weighted Texture Features of Histopathology Images

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Computers, Materials & Continua 2023年第10期77卷 1081-1101页

作者： Arslan Akram Javed rashid Fahima Hajjej Sobia Yaqoob Muhammad Hamid Asma Arshad Nadeem Sarwar Department of Computer Science and Information Technology Superior UniversityLahore54000Pakistan MLC Lab Maharban HouseHouse#209Zafar ColonyOkara56300Pakistan Information Technology Services University of OkaraOkara56300Pakistan Department of CS&SE International Islamic UniversityIslamabad44000Pakistan Department of Information Systems College of Computer and Information SciencesPrincess Nourah bint Abdulrahman UniversityRiyadh11671Saudi Arabia Department of Computer Science University of OkaraOkara56300Pakistan Department of Statistics and Computer Science University of Veterinary and Animal SciencesLahorePunjab54000Pakistan School of Biochemistry and Biotechnology University of the PunjabLahore54000Pakistan Department of Computer Science Bahria UniversityLahore CampusLahore54600Pakistan

Around one in eight women will be diagnosed with breast cancer at some *** patient outcomes necessitate both early detection and an accurate *** images are routinely utilized in the process of diagnosing breast *** proposed in recent research only focus on classifying breast cancer on specific magnification *** study has focused on using a combined dataset with multiple magnification levels to classify breast cancer.A strategy for detecting breast cancer is provided in the context of this *** image texture data is used with the wavelet transform in this *** proposed method comprises converting histopathological images from Red Green Blue(RGB)to Chrominance of Blue and Chrominance of Red(YCBCR),utilizing a wavelet transform to extract texture information,and classifying the images with Extreme Gradient Boosting(XGBOOST).Furthermore,SMOTE has been used for resampling as the dataset has imbalanced *** suggested method is evaluated using 10-fold cross-validation and achieves an accuracy of 99.27%on the BreakHis 1.040X dataset,98.95%on the BreakHis 1.0100X dataset,98.92%on the BreakHis 1.0200X dataset,98.78%on the BreakHis 1.0400X dataset,and 98.80%on the combined *** findings of this study imply that improved breast cancer detection rates and patient outcomes can be achieved by combining wavelet transformation with textural signals to detect breast cancer in histopathology images.

关键词： Benign and malignant color conversion wavelet domain texture features xgboost

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A Double Threshold Energy Detection-Based Neural Network for Cognitive Radio Networks

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Computer Systems Science & Engineering 2023年第4期45卷 329-342页

作者： Nada M.Elfatih Elmustafa Sayed Ali Maha Abdelhaq Raed Alsaqour rashid A.Saeed Department of Electrical and Electronics Engineering Red Sea UniversityPort Sudan33311Sudan Department of Information Technology College of Computer and Information SciencesPrincess Nourah bint Abdulrahman UniversityRiyadh11671Saudi Arabia Department of Information Technology College of Computing and InformaticsSaudi Electronic UniversityRiyadh93499Saudi Arabia Department of Computer Engineering College of Computers and Information TechnologyTaif UniversityTaif21944Saudi Arabia Department of Electronics Engineering Sudan University of Science and TechnologyKhartoum11111Sudan

In cognitive radio networks(CoR),the performance of cooperative spectrum sensing is improved by reducing the overall error rate or maximizing the detection *** optimization methods are usually used to optimize the number of user-chosen for cooperation and the threshold ***,these methods do not take into account the effect of sample size and its effect on improving CoR *** general,a large sample size results in more reliable detection,but takes longer sensing time and increases ***,the locally sensed sample size is an optimization ***,optimizing the local sample size for each cognitive user helps to improve CoR *** this study,two new methods are proposed to find the optimum sample size to achieve objective-based improved(single/double)threshold energy detection,these methods are the optimum sample size N^(*)and neural networks(NN)*** the evaluation,it was found that the proposed methods outperform the traditional sample size selection in terms of the total error rate,detection probability,and throughput.

关键词： Cognitive radio spectrum sensing energy detection double threshold neural network machine learning optimization quality of service

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Stature estimation from footprint measurements in Bangladeshi adults

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Forensic Sciences Research 2022年第2期7卷 124-131页

作者： Md Asadujjaman Md Harun Or rashid Md Sohel Rana Md Mosharraf Hossain Department of Industrial&Production Engineering Rajshahi University of Engineering&TechnologyRajshahiBangladesh

The estimation of stature is very important in forensic investigation,as it provides useful data that can narrow the pool of potentially matching *** purpose of this study was to develop formulae for the estimation of stature from footprint measurements in Bangladeshi *** study included 118 randomly selected men and 130 randomly selected women,all aged 18–50 *** each participant,stature and six footprint measurements were taken by means of standard measurement *** measurements were found to be positively correlated with *** was estimated by using linear regression *** right T1 length in men(R:þ0.587,R^(2):0.345)and the right T2 length in women(R:þ0.506,R^(2):0.256)were the most reliable individual estimators of ***,when data were combined for both sexes,the right T2 length was identified as the most reliable estimator of stature,with higher values of R(þ0.792)and R^(2)(0.627).In conclusion,human stature can be successfully estimated by using footprint measurements;this finding can be applied in forensic research and investigation.

关键词： Forensic sciences forensic anthropology anthropometry footprint stature estimation forensic identification

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Bug Prioritization Using Average One Dependence Estimator

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Intelligent Automation & Soft Computing 2023年第6期36卷 3517-3533页

作者： Kashif Saleem rashid Naseem Khalil Khan Siraj Muhammad Ikram Syed Jaehyuk Choi Department of IT and Computer Science Institute of Applied Sciences and TechnologyPakAustriaFochhshuleHaripurPakistan Faculty of Computer Sciences and Information Technology Superior UniversityLahore54660Pakistan Department of Computer Science Shaheed Benazir Bhutto UniversitySheringalUpper DirKhyber PakhtunkhwaPakitan School of Computing Gachon University1342Seongnam-daeroSujeong-guSeongnam-si13120Korea

Automation software need to be continuously updated by addressing software bugs contained in their ***,bugs have different levels of importance;hence,it is essential to prioritize bug reports based on their sever-ity and *** managing the deluge of incoming bug reports faces time and resource constraints from the development team and delays the resolu-tion of critical ***,bug report prioritization is *** study pro-poses a new model for bug prioritization based on average one dependence estimator;it prioritizes bug reports based on severity,which is determined by the number of *** more the number of attributes,the more the *** proposed model is evaluated using precision,recall,F1-Score,accuracy,G-Measure,and Matthew’s correlation *** of the proposed model are compared with those of the support vector machine(SVM)and Naive Bayes(NB)*** and Mozilla datasetswere used as the sources of bug *** proposed model improved the bug repository management and out-performed the SVM and NB ***,the proposed model used a weaker attribute independence supposition than the former models,thereby improving prediction accuracy with minimal computational cost.

关键词： Bug report triaging prioritization support vector machine Naive Bayes

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Machine learning-based discovery of vibrationally stable materials

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npj Computational Materials 2023年第1期9卷 2304-2309页

作者： Sherif Abdulkader Tawfik Mahad rashid Sunil Gupta Salvy P.Russo Tiffany R.Walsh Svetha Venkatesh Institute for Frontier Materials Deakin UniversityGeelongVIC 3216Australia ARC Centre of Excellence in Exciton Science RMIT UniversityMelbourneVIC 3001Australia Applied Artificial Intelligence Institute(A2I2) Deakin UniversityGeelongVIC 3216Australia Chemical and Quantum Physics School of ScienceRMIT UniversityMelbourneVIC 3001Australia

The identification of the ground state phases of a chemical space in the convex hull analysis is a key determinant of the synthesizability of *** material databases have been instrumental in exploring one aspect of the synthesizability of many materials,namely thermodynamic ***,the vibrational stability,which is another aspect of synthesizability,of new materials is not *** first principles approaches to calculate the vibrational spectra of materials in online material databases is computationally ***,a dataset of vibrational stability for~3100 materials is used to train a machine learning classifier that can accurately distinguish between vibrationally stable and unstable *** classifier has the potential to be further developed as an essential filtering tool for online material databases that can inform the material science community of the vibrational stability or instability of the materials queried in convex hulls.

关键词： materials stability vibrational

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