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Hybrid GrabCut Hidden Markov Model for Segmentation

Computers, Materials & Continua 2022年第7期72卷 851-869页

作者： Soobia Saeed Afnizanfaizal Abdullah N.Z.Jhanjhi mehmood naqvi Mehedi Masud Mohammed A.AlZain Department of Software Engineering UniversitiTeknologi Malaysia-UTM81310Malaysia School of Computer Science and Engineering SCE Taylor’s UniversitySubang Jaya47500Malaysia Department of Engineering and Technology Mohak CollegeAlbertaCanada Department of Computer Science College of Computers and Information TechnologyTaif UniversityTaif21944Saudi Arabia Department of Information Technology College of Computers and Information TechnologyTaif UniversityTaif21944Saudi Arabia

Diagnosing data or object detection in medical images is one of the important parts of image segmentation especially those data which is less effective to identify inMRI such as low-grade tumors or cerebral spinal fluid(CSF)leaks in the *** aim of the study is to address the problems associated with detecting the low-grade tumor and CSF in brain is difficult in magnetic resonance imaging(MRI)images and another problem also relates to efficiency and less execution time for segmentation of medical *** tumor and CSF segmentation using trained light field database(LFD)datasets of MRI *** research proposed the new framework of the hybrid k-Nearest Neighbors(k-NN)model that is a combination of hybridization of Graph Cut and Support Vector Machine(GCSVM)and Hidden Markov Model of k-Mean Clustering Algorithm(HMMkC).There are four different methods are used in this research namely(1)SVM,(2)GrabCut segmentation,(3)HMM,and(4)k-mean clustering *** this framework,on the one hand,phase one is to perform the classification of SVM and Graph Cut algorithm to create the maximum margin *** research use GrabCut segmentation method which is the application of the graph cut algorithm and extract the data with the help of scaleinvariant features *** the other hand,in phase two,segment the low-grade tumors and CSF using a method adapted for HMkC and extract the information of tumor or CSF fluid by GCHMkC including iterative conditional maximizing mode(ICMM)with identifying the range of *** evaluation is also performing by the comparison of existing techniques in this *** conclusion,our proposed model gives better results than *** proposed model helps to common man and doctor that can identify their condition of brain *** future,this will model will use for other brain related diseases.

关键词： SVM tumor CSF k-NN MRI grabcut segmentation HMM

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ASLP-DL—A Novel Approach Employing Lightweight Deep Learning Framework for Optimizing Accident Severity Level Prediction

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Computers, Materials & Continua 2024年第2期78卷 2535-2555页

作者： Saba Awan Zahid mehmood Department of Software Engineering University of Engineering and TechnologyTaxila47050Pakistan Department of Computer Engineering University of Engineering and TechnologyTaxila47050Pakistan

Highway safety researchers focus on crash injury severity,utilizing deep learning—specifically,deep neural networks(DNN),deep convolutional neural networks(D-CNN),and deep recurrent neural networks(D-RNN)—as the preferred method for modeling accident *** learning’s strength lies in handling intricate relation-ships within extensive datasets,making it popular for accident severity level(ASL)prediction and *** prior success,there is a need for an efficient system recognizing ASL in diverse road *** address this,we present an innovative Accident Severity Level Prediction Deep Learning(ASLP-DL)framework,incorporating DNN,D-CNN,and D-RNN models fine-tuned through iterative hyperparameter selection with Stochastic Gradient *** framework optimizes hidden layers and integrates data augmentation,Gaussian noise,and dropout regularization for improved *** and factor contribution analyses identify influential *** on three diverse crash record databases—NCDB 2018–2019,UK 2015–2020,and US 2016–2021—the D-RNN model excels with an ACC score of 89.0281%,a Roc Area of 0.751,an F-estimate of 0.941,and a Kappa score of 0.0629 over the NCDB *** proposed framework consistently outperforms traditional methods,existing machine learning,and deep learning techniques.

关键词： Injury severity prediction deep learning feature

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The two sides of chromosomal instability:drivers and brakes in cancer

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Signal Transduction and Targeted Therapy 2024年第4期9卷 1595-1624页

作者： Rendy Hosea Sharon Hillary Sumera naqvi Shourong Wu Vivi Kasim Key Laboratory of Biorheological Science and Technology Ministry of EducationCollege of BioengineeringChongqing UniversityChongqing 400045China The 111 Project Laboratory of Biomechanics and Tissue Repair College of BioengineeringChongqing UniversityChongqing 400044China Chongqing Key Laboratory of Translational Research for Cancer Metastasis and Individualized Treatment Chongqing University Cancer HospitalChongqing UniversityChongqing 400030China

Chromosomal instability(CIN)is a hallmark of cancer and is associated with tumor cell *** triggers a chain reaction in cells leading to chromosomal abnormalities,including deviations from the normal chromosome number or structural changes in *** arises from errors in DNA replication and chromosome segregation during cell division,leading to the formation of cells with abnormal number and/or structure of *** in DNA replication result from abnormal replication licensing as well as replication stress,such as double-strand breaks and stalled replication forks;meanwhile,errors in chromosome segregation stem from defects in chromosome segregation machinery,including centrosome amplification,erroneous microtubule-kinetochore attachments,spindle assembly checkpoint,or defective sister chromatids *** normal cells,CiN is deleterious and is associated with DNA damage,proteotoxic stress,metabolic alteration,cell cycle arrest,and ***,despite these negative consequences,CiN is one of the hallmarks of cancer found in over 90%of solid tumors and in blood ***,CiN could endow tumors with enhanced adaptation capabilities due to increased intratumor heterogeneity,thereby facilitating adaptive resistance to therapies;however,excessive CiN could induce tumor cells death,leading to the"just-right"model for CIN in *** the complex nature of CIN is crucial for understanding the dynamics of tumorigenesis and for developing effective anti-tumor *** review provides an overview of causes and consequences of CIN,as well as the paradox of CIN,a phenomenon that continues to perplex ***,this review explores the potential of CIN-based anti-tumor therapy.

关键词： chromosomal consequences thereby

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Leveraging Augmented Reality,Semantic-Segmentation,and VANETs for Enhanced Driver’s Safety Assistance

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Computers, Materials & Continua 2024年第1期78卷 1443-1460页

作者： Sitara Afzal Imran Ullah Khan Irfan mehmood Jong Weon Lee Mixed Reality and Interaction Lab Department of SoftwareSejong UniversitySeoul05006Korea Faculty of Engineering and Digital Technologies School of Computer ScienceAI and ElectronicsUniversity of BradfordBradfordUK

Overtaking is a crucial maneuver in road transportation that requires a clear view of the road ***,limited visibility of ahead vehicles can often make it challenging for drivers to assess the safety of overtaking maneuvers,leading to accidents and *** this paper,we consider atrous convolution,a powerful tool for explicitly adjusting the field-of-view of a filter as well as controlling the resolution of feature responses generated by Deep Convolutional Neural Networks in the context of semantic image *** article explores the potential of seeing-through vehicles as a solution to enhance overtaking ***-through vehicles leverage advanced technologies such as cameras,sensors,and displays to provide drivers with a real-time view of the vehicle ahead,including the areas hidden from their direct line of *** address the problems of safe passing and occlusion by huge vehicles,we designed a see-through vehicle system in this study,we employed a windshield display in the back car together with cameras in both *** server within the back car was used to segment the car,and the segmented portion of the car displayed the video from the front *** see-through system improves the driver’s field of vision and helps him change lanes,cross a large car that is blocking their view,and safely overtake other *** network was trained and tested on the Cityscape dataset using semantic *** transparent technique will instruct the driver on the concealed traffic situation that the front vehicle has *** our findings,we have achieved 97.1% *** article also discusses the challenges and opportunities of implementing see-through vehicles in real-world scenarios,including technical,regulatory,and user acceptance factors.

关键词： Overtaking safety augmented reality VANET V2V deep learning

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DeBERTa-GRU: Sentiment Analysis for Large Language Model

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Computers, Materials & Continua 2024年第6期79卷 4219-4236页

作者： Adel Assiri Abdu Gumaei Faisal mehmood Touqeer Abbas Sami Ullah Department of Informatics for Business College of BusinessKing Khalid UniversityAbha61421Saudi Arabia Department of Computer Science College of Computer Engineering and SciencesPrince Sattam bin Abdulaziz UniversityAl-Kharj11942Saudi Arabia School of Electrical and Information Engineering Zhengzhou UniversityZhengzhou450001China Department of Computer Science and Technology Beijing University of Chemical TechnologyBeijing100029China Department of Computer Science Government College University FaisalabadFaisalabadPunjab38000Pakistan

Modern technological advancements have made social media an essential component of daily *** media allow individuals to share thoughts,emotions,and *** analysis plays the function of evaluating whether the sentiment of the text is positive,negative,neutral,or any other personal emotion to understand the sentiment context of the *** analysis is essential in business and society because it impacts strategic *** analysis involves challenges due to lexical variation,an unlabeled dataset,and text distance *** execution time increases due to the sequential processing of the sequence ***,the calculation times for the Transformer models are reduced because of the parallel *** study uses a hybrid deep learning strategy to combine the strengths of the Transformer and Sequence models while ignoring their *** particular,the proposed model integrates the Decoding-enhanced with Bidirectional Encoder Representations from Transformers(BERT)attention(DeBERTa)and the Gated Recurrent Unit(GRU)for sentiment *** the Decoding-enhanced BERT technique,the words are mapped into a compact,semantic word embedding space,and the Gated Recurrent Unit model can capture the distance contextual semantics *** proposed hybrid model achieves F1-scores of 97%on the Twitter Large Language Model(LLM)dataset,which is much higher than the performance of new techniques.

关键词： DeBERTa GRU Naive Bayes LSTM sentiment analysis large language model

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Road Traffic Monitoring from Aerial Images Using Template Matching and Invariant Features

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Computers, Materials & Continua 2024年第3期78卷 3683-3701页

作者： Asifa mehmood Qureshi Naif Al Mudawi Mohammed Alonazi Samia Allaoua Chelloug Jeongmin Park Department of Creative Technologies Air UniversityIslamabad46000Pakistan 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 Department of Computer Engineering Tech University of KoreaGyeonggi-do15073South Korea

Road traffic monitoring is an imperative topic widely discussed among *** used to monitor traffic frequently rely on cameras mounted on bridges or ***,aerial images provide the flexibility to use mobile platforms to detect the location and motion of the vehicle over a larger *** this end,different models have shown the ability to recognize and track ***,these methods are not mature enough to produce accurate results in complex road ***,this paper presents an algorithm that combines state-of-the-art techniques for identifying and tracking vehicles in conjunction with image *** extracted frames were converted to grayscale,followed by the application of a georeferencing algorithm to embed coordinate information into the *** masking technique eliminated irrelevant data and reduced the computational cost of the overall monitoring ***,Sobel edge detection combined with Canny edge detection and Hough line transform has been applied for noise *** preprocessing,the blob detection algorithm helped detect the *** of varying sizes have been detected by implementing a dynamic thresholding *** was done on the first image of every ***,to track vehicles,the model of each vehicle was made to find its matches in the succeeding images using the template matching *** further improve the tracking accuracy by incorporating motion information,Scale Invariant Feature Transform(SIFT)features have been used to find the best possible match among multiple *** accuracy rate of 87%for detection and 80%accuracy for tracking in the A1 Motorway Netherland dataset has been *** the Vehicle Aerial Imaging from Drone(VAID)dataset,an accuracy rate of 86%for detection and 78%accuracy for tracking has been achieved.

关键词： Unmanned Aerial Vehicles(UAV) aerial images dataset object detection object tracking data elimination template matching blob detection SIFT VAID

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The role of green industrial transformation in mitigating carbon emissions:Exploring the channels of technological innovation and environmental regulation

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Energy and Built Environment 2024年第3期5卷 464-479页

作者： Saima mehmood Khalid Zaman Shiraz Khan Zohaib Ali Haroon ur Rashid Khan Department of Economics The University of HaripurHaripurKhyber Pakhtunkhwa 22620Pakistan Department of Management Sciences The University of HaripurHaripurKhyber Pakhtunkhwa 22620Pakistan Department of Energy and Process Engineering(EPT) Norwegian University of Science and TechnologyHøgskoleringen 1Trondheim 7034Norway Faculty of Business The University of Wollongong in DubaiDubai 20183United Arab Emirates

The industrial sector is vital to economic progress,yet industrial pollution poses environmental and economic *** purpose of the study was to investigate the influence of green industrial transformation in re-ducing Pakistan’s carbon intensity between 1975 and *** emissions are considered an endogenous construct,while foreign direct investment(FDI)inflows,technological innovation,green industrial transforma-tion,environmental legislation,and research and development(R&D)investment are possible *** association between variables is assessed using the robust least-squares *** industrial transforma-tion is connected with lower carbon emissions,yet technical innovation,R&D investment,and inbound FDI raise a country’s carbon *** findings support the pollution haven hypothesis in a *** causality esti-mates indicate that inward FDI contributes to environmental regulations;green industrial transformation directly relates to inbound FDI and R&D expenditures;and technological innovations correspond to inbound FDI,R&D ex-penditures,industrial ecofriendly progression,and environmental *** to the impulse response function,environmental policies are anticipated to have a differential effect on carbon emissions in 2023,2024,2028-2030,while they are likely to decrease in the years 2025-2027 and 2031 ***,inward FDI and technology advancements would almost certainly result in a rise in carbon emissions over *** industrial transitions are projected to result in a ten-year reduction in carbon *** variance decomposi-tion analysis indicates that eco-friendly industrial adaptations would likely have the largest variance error shock on carbon emissions(11.747%),followed by inbound FDI,technological advancements,and regulatory changes,with R&D spending having a minimal impact over ***’s economy should foster a green industrial revolution to avoid pollution and increase environm

关键词： Carbon intensity Industrial green transformation Environmental regulations Technological innovations Robust least squares regression

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Decoding bone-inspired and cell-instructive cues of scaffolds for bone tissue engineering

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Engineered Regeneration 2024年第1期5卷 21-44页

作者： Zahid Hussain Shah mehmood Xingzhu Liu Yuanshan Liu Guocheng Wang Renjun Pei School of Nano-Tech and Nano-Bionics University of Science and Technology of China(USTC)Hefei 230026PR China CAS Key Laboratory for Nano-Bio Interface Suzhou Institute of Nano-Tech and Nano-Bionics(SINANO)Chinese Academy of SciencesSuzhou 215123PR China Research Center for Human Tissues and Organs Degeneration Shenzhen Institute of Advanced Technology(SIAT)Chinese Academy of ScienceShenzhen 518055PR China

Bone fractures are common occurrence in clinical settings,creating a high demand for effective repair ***,limited graft availability,donor site morbidities,unpredictable clinical outcomes,immunologic reactions,infection risks,and geometrical mismatching concerns hampered tissue graft use and underscored the need for scaffolds for more effective bone reconstructions due to their tunable *** progress has been carried out in past decade in the fields of nanoceramics synthesis,bioconjugate chemistry,and composite material *** review outlines hierarchical structures and biology of bone tissue,materialistic compo-nents of scaffolds(bioceramics,polymers,bioactive drugs),featured scaffolding strategies(nanofibers,hydrogels,aerogels,bioprinting,and fiber-reinforced composite),and emphasis that hierarchical and physiochemical char-acteristics of bone should be used as an inspiration for scaffold *** review discussed how differences in materiobiological aspects of scaffolds,such as polymer/bioceramic nanocomposite,mineralized nanocomposite,matrix-rich nanocomposite,3D microenvironmental cues,pore space cues,mechanical cues,usage of physical stimulation(magnetic,electroactive,and photoactivated cues),surface cues(wettability,roughness,textured,and surface charge),and biointerface cues(cell-biomaterial interactions,cell-selective homing,and cell regula-tory strategies)modulate cellular and biological response for bone tissue *** study further outlines the challenges and benefits of integrating materiobiological cues of scaffolds for bone tissue engineering.

关键词： Bone substitute Scaffolds Mineralization Materiobiology Bone tissue engineering

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Physico-chemical properties and macrofauna of soils under various farming systems of cold arid region in Balochistan,Pakistan

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Journal of Mountain Science 2024年第8期21卷 2618-2630页

作者： KHAN mehmood GUL Shamim KAKAR Hidayatullah PANEZAI Sanaullah KHAN Nayab ZIAD Tariq NASEEM Mahrukh SHAHEEN Umbreen Department of Botany University of BalochistanQuetta 87300Pakistan Department of Natural Resource Sciences McGill University21111 Lakeshore Road Ste.Anne de BellevueQuébec H9X 3V9Canada Directorate of Agriculture Research Soil and Water TestingAgricultural Research InstituteQuetta 87300Pakistan Department of Geography and Regional Planning University of BalochistanQuetta 87300Pakistan Department of Zoology University of BalochistanQuetta 87300Pakistan

Barshore is a small village in the Pishin District,Balochistan,Pakistan,with dry summers and cold rainy *** is an agrarian region,mostly with orchards of various fruit *** study investigated the physico-chemical properties and macrofauna of soils under various agricultural management practices of this *** concentrations of soil organic matter(SOM),soil organic carbon(SOC),nutrients,pH,electrical conductivity,soil texture,and the abundance and number of species of soil macrofauna of the agricultural fields were *** agricultural fields were *** fields were orchards of apple,apricot or the mixture of apple and apricot trees and one field was a cropland,cultivated with wheat as a *** orchards were under conservation agricultural practices;whereas,the cropland was under conventional *** agricultural lands were 2-26 years *** concentration of soil organic matter(SOM)in the upper 0-10 cm depth of these field sites ranged from 11.6 g kg^(-1)to 32.8 g kg^(-1)*** compared to cropland,orchards had significantly higher concentration of SOM and SOC.A total of 18 soil macrofauna species were found and the most common and abundant were ants(Monomorium minimum,Camponotus pennsylvanicus,Solenopsis invicta,and Lasius niger)followed by Arion ssp.(Brown Slug)and earthworm Lumbricus *** analysis revealed non-significant relationship of the age and the concentration of SOM with the number of macrofauna species and with the concentrations of total mineral nitrogen,bioavailable phosphorus and *** existence of ants had no relationship with the concentration of SOM;whereas,existence of Lumbricus terrestris tended to had a positive relationship with the concentration of *** field of tree-based intercropping system was 2 years of age since the land was converted from rangeland to a cropland,had two ant species *** indicates the positive influence of crop diversification on soil

关键词： Soil organic matter Macrofauna Land use history Tree-based intercropping Conservation agriculture

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Ionic potency regulation of coagulation bath induced by saline solution to control over the pore structure of PBI membrane for highperformance lithium metal batteries

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Journal of Energy Chemistry 2024年第7期94卷 288-298页

作者： Arshad Hussain Waseem Raza Andleeb mehmood Sana Jalees Lihong Ao Yonggui Deng Aymeric Ramiere Xingke Cai Dongqing Liu College of Civil and Transportation Engineering Shenzhen UniversityShenzhen 518060GuangdongChina Institute for Advanced Study Shenzhen UniversityShenzhen 518060GuangdongChina Institute of Carbon Neutrality Zhejiang Wanli UniversityNingbo 315100ZhejiangChina College of Light Industry and Chemical Engineering Dalian Polytechnic UniversityDalian 116034LiaoningChina College of Physics and Optoelectronic Engineering Shenzhen UniversityShenzhen 518060GuangdongChina College of Mechatronics and Control Engineering Shenzhen UniversityShenzhen 518060GuangdongChina

In this study,we have explored the use of water as a non-solvent for tuning the microstructure of poly-benzimidazole(PBI)membranes,which are potential separators for lithium metal batteries(LMBs).The traditional method for membrane synthesis called nonsolvent-induced phase separation(NIPS),usually relies on hazardous and costly organic *** dissolving sodium chloride(Nacl)in water,we could adjust the water ionic potency and the exchange speed of the non-solvent with the DMAC solution to change the micropore structure of the PBI *** increasing Nacl concentration,the micro-pores in the PBI membrane transitioned from finger-like to sponge-like *** to com-mercial separators like the Celgard separator,the PBI membrane with sponge-like micropores exhibited better regulation of lithium deposition and improved Li^(+) transportation capability due to its good wetta-bility with the ***,the PBI membrane-based Li/Li symmetric cell and Li/LiFePO_(4) full cell demonstrated superior performance compared to the Celgard-based *** research proposes an eco-friendly and scalable synthetic approach for fabricating commercial separators for LMBs,addressing the issue of lithium dendrite growth and improving overall battery safety and performance.

关键词： Lithium metal-based battery Salt-induced Polybenzimidazole Tunablemorphology lonic potency

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