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Enhanced Wolf Pack Algorithm (EWPA) and Dense-kUNet Segmentation for Arterial Calcifications in Mammograms

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Computers, Materials & Continua 2024年第2期78卷 2207-2223页

作者： afnan M.Alhassan College of Computing and Information Technology Shaqra UniversityShaqra11961Saudi Arabia

Breast Arterial Calcification(BAC)is a mammographic decision dissimilar to cancer and commonly observed in elderly *** identifying BAC could provide an expense,and be *** Deep Learning(DL)methods have been introduced for automatic BAC detection and quantification with increased ***,classification with deep learning had reached higher efficiency,but designing the structure of DL proved to be an extremely challenging task due to overfitting *** also is not able to capture the patterns and irregularities presented in the *** solve the overfitting problem,an optimal feature set has been formed by Enhanced Wolf Pack Algorithm(EWPA),and their irregularities are identified by Dense-kUNet *** this paper,Dense-kUNet for segmentation and optimal feature has been introduced for classification(severe,mild,light)that integrates DenseUNet and *** bound links exist among adjacent modules,allowing relatively rough data to be sent to the following component and assisting the system in finding higher *** major contribution of the work is to design the best features selected by Enhanced Wolf Pack Algorithm(EWPA),and Modified Support Vector Machine(MSVM)based learning for classification.k-Dense-UNet is introduced which combines the procedure of Dense-UNet and kU-Net for image *** bound associations occur among nearby sections,allowing relatively granular data to be sent to the next subsystem and benefiting the system in recognizing smaller *** proposed techniques and the performance are tested using several types of analysis techniques 826 filled digitized *** proposed method achieved the highest precision,recall,F-measure,and accuracy of 84.4333%,84.5333%,84.4833%,and 86.8667%when compared to other methods on the Digital Database for Screening Mammography(DDSM).

关键词： Breast arterial calcification cardiovascular disease semantic segmentation transfer learning enhanced wolf pack algorithm and modified support vector machine

Parallel Inference for Real-Time Machine Learning Applications

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Journal of Computer and Communications 2024年第1期12卷 139-146页

作者： Sultan Al Bayyat Ammar Alomran Mohsen Alshatti Ahmed almousa Rayyan almousa Yasir Alguwaifli College of Computer Science and Information Technology Imam Abdulrahman Bin Faisal University Dammam Saudi Arabia

Hyperparameter tuning is a key step in developing high-performing machine learning models, but searching large hyperparameter spaces requires extensive computation using standard sequential methods. This work analyzes the performance gains from parallel versus sequential hyperparameter optimization. Using scikit-learn’s Randomized SearchCV, this project tuned a Random Forest classifier for fake news detection via randomized grid search. Setting n_jobs to -1 enabled full parallelization across CPU cores. Results show the parallel implementation achieved over 5× faster CPU times and 3× faster total run times compared to sequential tuning. However, test accuracy slightly dropped from 99.26% sequentially to 99.15% with parallelism, indicating a trade-off between evaluation efficiency and model performance. Still, the significant computational gains allow more extensive hyperparameter exploration within reasonable timeframes, outweighing the small accuracy decrease. Further analysis could better quantify this trade-off across different models, tuning techniques, tasks, and hardware.

关键词： Machine Learning Models Computational Efficiency Parallel Computing Systems Random Forest Inference Hyperparameter Tuning Python Frameworks (TensorFlow PyTorch Scikit-Learn) High-Performance Computing

Rational design of natural leather-based water evaporator for electricity generation and functional applications

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Journal of Energy Chemistry 2024年第9期96卷 129-144页

作者： Bingyuan Zhang Xiaoyu Guan Qingxin Han Haoxiang Guo Sai Zheng Xuhui Sun afnan H.El-Gowily Mohammed A.Abosheasha Yanxia Zhu Motoki Ueda Meng An Haojun Fan Yoshihiro Ito College of Bioresources Chemical and Materials Engineering Key Laboratory of Auxiliary Chemistry and Technology for Chemical IndustryMinistry of EducationShaanxi Collaborative Innovation Center of Industrial Auxiliary Chemistry and TechnologyShaanxi University of Science&TechnologyXi'an 710021ShaanxiChina Nano Medical Engineering Laboratory RIKEN Cluster for Pioneering Research2-1 HirosawaWako 351-0198SaitamaJapan Key Laboratory of Leather Chemistry and Engineering(Sichuan University) Ministry of EducationChengdu 610065SichuanChina College of Mechanical and Electrical Engineering Shaanxi University of Science&TechnologyXi'an 710021ShaanxiChina Biochemistry Division Chemistry DepartmentFaculty of ScienceTanta UniversityTanta 31527Egypt

In recent years,water evaporation-induced electricity has attracted a great deal of attention as an emerging green and renewable energy harvesting *** abundant materials have been developed to fabricate hydrovoltaic devices,the limitations of high costs,inconvenient storage and transport,low environmental benefits,and unadaptable shape have restricted their wide ***,an electricity generator driven by water evaporation has been engineered based on natural biomass leather with inherent properties of good moisture permeability,excellent wettability,physicochemical stability,flexibility,and *** numerous nano/microchannels together with rich oxygen-bearing functional groups,the natural leather-based water evaporator,Leather_(Emblic-NPs-SA/CB),could continuously produce electricity even staying outside,achieving a maximum output voltage of∼3 V with six-series ***,the leather-based water evaporator has enormous potential for use as a flexible self-powered electronic floor and seawater demineralizer due to its sensitive pressure sensing ability as well as its excellent photothermal conversion efficiency(96.3%)and thus fast water evaporation rate(2.65 kg m^(−2)h^(−1)).This work offers a new and functional material for the construction of hydrovoltaic devices to harvest the sustained green energy from water evaporation in arbitrary ambient environments,which shows great promise in their widespread applications.

关键词： Energy conversion Water evaporation-induced electricity Functional leather Flexible self-powered sensor Desalination

Parallel Technologies with Image Processing Using Inverse Filter

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Journal of Computer and Communications 2024年第1期12卷 110-119页

作者： Rahaf Alsharhan Areej Muheef Yasmin Al Ibrahim afnan Rayyani Yasir Alguwaifli College of Computer Science and Information Technology (CCSIT) Imam Abdulrahman Bin Faisal University (IAU) Dammam Saudi Arabia

Real-time capabilities and computational efficiency are provided by parallel image processing utilizing OpenMP. However, race conditions can affect the accuracy and reliability of the outcomes. This paper highlights the importance of addressing race conditions in parallel image processing, specifically focusing on color inverse filtering using OpenMP. We considered three solutions to solve race conditions, each with distinct characteristics: #pragma omp atomic: Protects individual memory operations for fine-grained control. #pragma omp critical: Protects entire code blocks for exclusive access. #pragma omp parallel sections reduction: Employs a reduction clause for safe aggregation of values across threads. Our findings show that the produced images were unaffected by race condition. However, it becomes evident that solving the race conditions in the code makes it significantly faster, especially when it is executed on multiple cores.

关键词： Parallel Parallelization Image Processing Inverse Filtering OpenMP Race Conditions

Polyurethane coated with polyvinylpyrrolidones via triazole links for enhanced surface fouling resistance

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Biosurface and Biotribology 2021年第4期7卷 219-227页

作者： Xin Wen Rashed almousa Sungsoo Na Gregory GAnderson Dong Xie Department of Biomedical Engineering Purdue School of Engineering and TechnologyIndianapolisIndianaUSA Department of Medical Equipment Technology College of Applied Medical ScienceMajmaah UniversityRiyadhSaudi Arabia Department of Biology Purdue School of ScienceIUPUIIndianapolisIndianaUSA

Surfaces with hydrophilic and antimicrobial properties are very attractive for cardio-vascular device-associated *** aim of this study was to prepare and coat a hydrophilic polymer containing a functional group capable of forming triazole functionality onto the surface of polyurethane(PU).The modified surfaces were assessed with cell adhesion,bacterial adhesion and bacterial *** fibroblast cells(NIH-3T3)and three bacterial species were used for *** results showed that the modified surface not only exhibited a significant reduction in cell adhesion with a 25%-59%decrease to mouse fibroblast but also showed a sig-nificant reduction in bacterial attachment with 26%-67%,24%-61%and 23%-57%decrease to Staphylococcus aureus,Escherichia coli and Pseudomonas aeruginosa,respectively,as compared with original ***,the polymer-modified surface exhibited a significant antibacterial function by inhibiting bacterial growth with reduction of 49%-84%,44%-79%and 53%-79%to ***,*** and ***-ginosa,respectively,as compared with original *** results indicate that covalent polymer attachment enhanced the antibacterial and antifouling properties of the PU surface.

关键词： bacterial adhesion and inhibition cell adhesion polymer coating polyurethane

Designing and Evaluating a Collaborative Knowledge Management Framework for Leaf Disease Detection

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Computer Systems Science & Engineering 2022年第8期42卷 751-777页

作者： Komal Bashir Mariam Rehman afnan Bashir Faria Kanwal Department of Computer Science Lahore College for Women UniversityLahore54000Pakistan Department of Information Technology Government CollegeFaisalabad54000Pakistan Engage Research Lab School of Law and SocietyUniversity of the Sunshine CoastSippy DownsQLD 4556Australia

Knowledge Management(KM)has become a dynamic concept for inquiry in *** management of knowledge from multiple sources requires a systematic approach that can facilitate capturing all important aspects related to a particular discipline,several KM frameworks have been designed to serve this *** research aims to propose a Collaborative Knowledge Management(CKM)Framework that bridges gaps and overcomes weaknesses in existing *** paper also validates the framework by evaluating its effectiveness for the agriculture sector of Pakistan.A software LCWU aKMS was developed which serves as a practical implementation of the concepts behind the proposed CKMF *** aKMS served as an effective system for rice leaf disease detection and *** aimed to enhance CKM through knowledge sharing,lessons learned,feedback on problem resolutions,help from co-workers,collaboration,and helping *** were collected from 300 rice crop farmers by questionnaires based on *** Olfman model was used to estimate the effectiveness of *** tests were performed including frequency measures of variables,Cronbach’s alpha reliability,and Pearson’s *** research provided a KMS depicting KM and collaborative *** disease detection module was evaluated using the precision and recall method and found to be 94.16%*** system could replace the work of extension agents,making it a cost and time-effective initiative for farmer betterment.

关键词： Collaborative knowledge management framework jennex olfman km success model knowledge management rice disease detection

Polyvinylchloride surface modified with polymer brushes for reduced protein,cell and bacteria attachment

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Biosurface and Biotribology 2023年第4期9卷 187-198页

作者： Rashed almousa Dong Xie Jiliang Li Gregory G.Anderson Weldon School of Biomedical Engineering Purdue UniversityWest LafayetteIndianaUSA Department of Medical Equipment Technology College of Applied Medical SciencesMajmaah UniversityAl-MajmaahSaudi Arabia Department of Biomedical Engineering Indiana University-Purdue University at IndianapolisIndianapolisIndianaUSA Department of Biology Purdue School of ScienceIndiana University-Purdue University at IndianapolisIndianapolisIndianaUSA

The objective of this study was to coat negatively charged polymer brushes by a covalent bond onto the surface of polyvinylchloride using a simple conventional surface free radical polymerisation *** coated surfaces were assessed with contact angle,protein adsorption,cell adhesion,and bacterial *** serum albumin and bovine fibrinogen were used for protein adsorption *** fibroblast(NIH-3T3)cells and Pseudomonas aeruginosa were used to assess surface *** show that the surface modified with all the attached polymers exhibited significantly reduced contact angle,protein adsorption,and cell as well as bacterial adhesion among which the negatively charged polymers showed extremely low values in all the *** negatively charged polymer shows its contact angle at 5°as compared to 70°for original *** bovine serum albumin,bovine fibrinogen,3T3 adhesion,and *** adhesion were 93%,84%,92%,and 92%lower than the original PVC,***,the polyvinylchloride surface coated with negatively charged polymer brushes exhibited a hydrogel-like *** results indicate that coating a polyvinylchloride surface with acrylic acids using a simple surface-initiated free radical polymerisation and then converting those to negatively charged salts can be an effective and efficient route for fouling-resistant applications.

关键词： polymer surface

Hydrophilic polymer-coated PVC surface for reduced cell and bacterial adhesions

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Biosurface and Biotribology 2022年第1期8卷 34-43页

作者： Rashed almousa Xin Wen Sungsoo Na Gregory Anderson Dong Xie Weldon School of Biomedical Engineering Purdue UniversityWest LafayetteIndianaUSA Department of Medical Equipment Technology College of Applied Medical ScienceMajmaah UniversityAlmajmaahSaudi Arabia Department of Biomedical Engineering Purdue School of Engineering and TechnologyIndiana University-Purdue University at IndianapolisIndianapolisIndianaUSA Department of Biology Purdue School of ScienceIndiana University-Purdue University at IndianapolisIndianapolisIndianaUSA

Hydrophilic polymers are very useful in biomedical *** this study,biocom-patible polyethylene glycol(PEG)and polyvinylpyrrolidone(PVP)polymers end-capped with succinimidyl groups were either modified or synthesised and attached to poly-vinylchloride *** modified surfaces were evaluated with cell adhesion and bacterial adhesion.3T3 mouse fibroblast cells and three bacteria species were used to evaluate surface adhesion *** showed that the modified surface exhibited significantly reduced 3T3 cell adhesion with a 50%-69%decrease for PEG and a 64%-81%for PVP,as compared to unmodified *** modified surface also showed significantly reduced bacterial attachment with 22%-78%,18%-76%and 20%-75%decrease for PEG and 22%-76%,18%-76%and 20%-73%for PVP to Staphy-lococcus aureus,Escherichia coli and Pseudomonas aeruginosa,respectively,as compared to unmodified *** seems that an appropriate chain length or molecular weight(neither the longest nor the shortest chain length)determines the lowest cell and bacterial adhesion in terms of *** the other hand,a mixture of polymers with different chain lengths exhibited the lowest cell and bacterial adhesion in terms of PVP.

关键词： adhesion bacterial viability polymer polyvinylchloride surface coating

Numerical Investigation of a modified Kalina cycle system for high-temperature application and genetic algorithm based optimization of the multi-phase expander’s inlet condition

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能源与人工智能(英文) 2021年第4期6卷 71-87页

作者： Mohammad Masrur Hossain MdSakib Hossain Niyaz afnan Ahmed M Monjurul Ehsan Department of Mechanical and Production Engineering Islamic University of TechnologyBoard BazarGazipur 1704Bangladesh

As an alternative to the conventional steam Rankine Cycle,Kalina Cycle has witnessed a growing interest over the past years for high-temperature applications(A working fluid temperature of 500◦C at the turbine inlet).However,the possibility of implementing an additional multi-phase expander on the weak ammonia-water solution loop of the Kalina cycle was hardly analyzed in the available *** this research,two novel Kalina cycles(Kalina cycle-12A and Kalina cycle-12B)have been presented by integrating a multi-phase expander in addition to the turbine installed downstream of the Kalina *** Kalina cycle-12A,this additional multi-phase expander is positioned downstream of the Kalina separator and on the weak ammonia-water solution loop for Kalina Cycle-12B.A detailed mathematical model based on the thermodynamic laws has been developed to solve and optimize the Kalina *** influence of critical decision parameters,specifically the ammonia concentration on working fluid and evaporation pressure,were *** optimization was performed based on the objective to maximize the net power output from the multi-phase expander under steady-state operating *** the performance of the proposed Kalina cycles was compared with the conventional Kalina Cycle-12,both of them demonstrated superior performance,i.e.,net power output and peak thermal efficiency increased by a maximum value of 3.23%for the proposed Kalina Cycle-12A cycle and 3.94%for the proposed Kalina Cycle-12B *** terms of second law efficiency,Kalina Cycle-12A is 3.68 percent more efficient than Kalina Cycle-12,while Kalina Cycle-12B is 4.04 percent more ***,2nd law analysis also reveals,maximum destruction of exergy occurs at the condensers of the cycles.

关键词： Kalina cycle Genetic algorithm-based optimization Exergy analysis High temperature