检索结果-南通市图书馆

An Efficient and Robust Hand Gesture Recognition System of Sign Language Employing Finetuned Inception-V3 and Efficientnet-B0 Network

引用

Computer Systems Science & Engineering 2023年第9期46卷 3509-3525页

作者： Adnan Hussain Sareer ul amin Muhammad Fayaz Sanghyun Seo Department of Computer Science Islamia College UniversityPeshawar25120Pakistan Department of Computer Science and Engineering Chung-Ang UniversitySeoul06974Korea Department of Computer Engineering Cyprus International UniversityLefkosa99010Rep.of North Cyprus College of Art and Technology Chung-Ang.UniversityAnseong17546Korea

Hand Gesture Recognition(HGR)is a promising research area with an extensive range of applications,such as surgery,video game techniques,and sign language translation,where sign language is a complicated structured form of hand *** fundamental building blocks of structured expressions in sign language are the arrangement of the fingers,the orientation of the hand,and the hand’s position concerning the *** importance of HGR has increased due to the increasing number of touchless applications and the rapid growth of the hearing-impaired ***,real-time HGR is one of the most effective interaction methods between computers and *** a user-free interface with good recognition performance should be the goal of real-time HGR ***,Convolutional Neural Network(CNN)shows great recognition rates for different image-level classification *** is challenging to train deep CNN networks like VGG-16,VGG-19,Inception-v3,and Efficientnet-B0 from scratch because only some significant labeled image datasets are available for static hand gesture ***,an efficient and robust hand gesture recognition system of sign language employing finetuned Inception-v3 and Efficientnet-Bo network is proposed to identify hand gestures using a comparative small HGR *** show that Inception-v3 achieved 90%accuracy and 0.93%precision,0.91%recall,and 0.90%f1-score,respectively,while EfficientNet-B0 achieved 99%accuracy and 0.98%,0.97%,0.98%,precision,recall,and f1-score respectively.

关键词： Pretrained CNN hand gesture recognition transfer learning

来源：

维普期刊数据库评论

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Recent trends,challenges,and perspectives in piezoelectric-driven self-chargeable electrochemical supercapacitors

引用

Carbon Energy 2022年第5期4卷 833-855页

作者： Karthikeyan Krishnamoorthy Parthiban Pazhamalai Sindhuja Manoharan noor ul Haq Liyakath Ali Sang-Jae Kim Nanomaterials&System Lab Major of Mechatronics EngineeringFaculty of Applied Energy SystemJeju National UniversityJejuSouth Korea Research Institute of Energy New Industry Jeju National UniversityJejuSouth Korea Nanomaterials&System Lab Major of Mechanical System EngineeringCollege of EngineeringJeju National UniversityJejuSouth Korea

The increasing demand for wearable electronic devices has resulted in tremendous progress in research on energy harvesting and storage devices/*** storage devices require a power source to charge them,whereas energy harvesting devices require a storage compartment to store the harvested energy for sustainable ***,a piezoelectrically driven self-charging supercapacitor power cell(SCSPC)was developed to harvest and store electrical energy in a solitary system to determine the potential impact of these two types of energy devices for wearable electronic *** review describes the recent advances in piezoelectric-driven SCSPCs in terms of device configuration,piezoelectric separator,electrolyte types,electrode materials,current collectors,and system *** review focuses specifically on the principles and mechanism of the self-charging process that occurred in the SCSPCs and the use of a promising piezo electrochemical spectroscopic tool to realize the piezo electrochemical energy transfer and storage process in the ***,the current challenges and new perspectives for future developments in the emerging area of SCSPCs or integrated energy devices are discussed.

关键词： electrospinning integrated energy cell mechanical energy piezoelectric separators piezoelectrochemical spectroscopy self-charging supercapacitor power cell

来源：

维普期刊数据库评论

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Appearance Based Dynamic Hand Gesture Recognition Using 3D Separable Convolutional Neural Network

引用

Computers, Materials & Continua 2023年第7期76卷 1213-1247页

作者： Muhammad Rizwan Sana ul Haq noor Gul Muhammad Asif Syed Muslim Shah Tariqullah Jan Naveed Ahmad Department of Electronics University of PeshawarPeshawar25120Pakistan Department of Electronics Engineering Korea Polytechnic UniversitySiheungKorea Department of Electrical Engineering Capital University of Science and TechnologyIslamabad44000Pakistan Department of Electrical Engineering University of Engineering and TechnologyPeshawar25120Pakistan Department of Computer Science Prince Sultan UniversityRiyadh11586Saudi Arabia

Appearance-based dynamic Hand Gesture Recognition(HGR)remains a prominent area of research in Human-Computer Interaction(HCI).Numerous environmental and computational constraints limit its real-time *** addition,the performance of a model decreases as the subject’s distance from the camera *** study proposes a 3D separable Convolutional Neural Network(CNN),considering the model’s computa-tional complexity and recognition *** 20BN-Jester dataset was used to train the model for six gesture *** achieving the best offline recognition accuracy of 94.39%,the model was deployed in real-time while considering the subject’s attention,the instant of performing a gesture,and the subject’s distance from the *** being discussed in numerous research articles,the distance factor remains unresolved in real-time deployment,which leads to degraded recognition *** the proposed approach,the distance calculation substantially improves the classification performance by reducing the impact of the subject’s distance from the ***,the capability of feature extraction,degree of relevance,and statistical significance of the proposed model against other state-of-the-art models were validated using t-distributed Stochastic Neighbor Embedding(t-SNE),Mathew’s Correlation Coefficient(MCC),and the McNemar test,*** observed that the proposed model exhibits state-of-the-art outcomes and a comparatively high significance level.

关键词： 3D separable CNN computational complexity hand gesture recognition human-computer interaction

来源：

维普期刊数据库评论

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Robust graph‐based localization for industrial Internet of things in the presence of flipping ambiguities

引用

CAAI Transactions on Intelligence Technology 2023年第4期8卷 1140-1149页

作者： Mian Imtiaz ul Haq Ruhul amin Khalil Muhannad Almutiry Ahmad Sawalmeh Tanveer Ahmad Nasir Saeed Faculty of Electrical Engineering Swedish College of Engineering and TechnologyWah CanttPakistan Department of Electrical Engineering Faculty of Electrical and Computer EngineeringUniversity of Engineering and TechnologyPeshawarPakistan Department of Electrical Engineering Remote Sensing UnitNorthern Border UniversityArarSaudi Arabia Data Science and Artificial Intelligence Department‐College of Science and Information Technology Irbid National UniversityIrbadJordan Innovation Education and Research Center for On‐Device AI Software(Bk21) Department of Computer Science and EngineeringChungnam National UniversityDaejeonRepublic of Korea Department of Electrical and Communication Engineering United Arab Emirates University(UAEU)Al AinUnited Arab Emirates

Localisation of machines in harsh Industrial Internet of Things(IIoT)environment is necessary for various ***,a novel localisation algorithm is proposed for noisy range measurements in IIoT *** position of an unknown machine device in the network is estimated using the relative distances between blind machines(BMs)and anchor machines(AMs).Moreover,a more practical and challenging scenario with the erroneous position of AM is considered,which brings additional uncertainty to the final position ***,the AMs selection algorithm for the localisation of BMs in the IIoT network is *** those AMs will participate in the localisation process,which increases the accuracy of the final location ***,the closed‐form expression of the proposed greedy successive anchorization process is derived,which prevents possible local convergence,reduces computation,and achieves Cramér‐Rao lower bound accuracy for white Gaussian measurement *** results are compared with the state‐of‐the‐art and verified through numerous simulations.

关键词： Cramér‐Rao lower bound greedy successive anchorization industrial internet of things localization

来源：

维普期刊数据库评论

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Extraction of protein from churpi of yak milk origin:Size reduction,nutraceutical potential and as a wall material for resveratrol

引用

Food Bioscience 2022年第2期46卷 900-911页

作者： Asir Gani Nairah noor Adil Gani Jenno Joseph-Leenose-Helen Asima Shah Zanoor ul Ashraf Laboratory of Functional Food and Nutraceuticals Department of Food Science and TechnologyUniversity of KashmirSrinagar190006India

Resveratrol is a known anti-oxidant and anti-cancer *** low bioavailability and poor water solubility of resveratrol is a major barrier that restricts its usage in food *** overcome these problems,the study presents micro and nano encapsulation of resveratrol in casein micelles extracted from Himalayan cheese(Churpi).Resveratrol loaded casein microparticles(CS-rm)were obtained using emulsion-freeze ***,resveratrol loaded casein nanoparticles(CS-rn)were obtained using *** were characterized using dynamic light scattering(DLS),scanning electron microscopy(SEM)and attenuated total reflectance-fourier transform infrared spectroscopy(ATR-FTIR).DLS revealed hydrodynamic diameter of 71.24μm and 387.023 nm and zeta potential of-22.62 and-28.08 mV for CS-rm and *** confirmed the characteristic peaks of resveratrol at 965.4,1380.86,1586.66 and 1607 cm-1 confirmed successful micro and ***-rm displayed high encapsulation efficiency(52.32%)and swelling power(77.90 at pH 3 and 68.65 at pH 7.5)than *** micro and nanoencapsulation protected resveratrol in gastric conditions,however,CS-rn showed high release of resveratrol then CS-rm in simulated intestinal *** anti-oxidant and anti-cancer activity of resveratrol under simulated gastric and intestinal conditions(SGID)was significantly higher(p≤0.05)for CS-rn,showing that nanoencapsulation improved release and nutraceutical profile of *** loaded nano and micro casein particles can be used a source of fortified protein supplement in growing food and nutraceutical industry.

关键词： Casein Encapsulation efficiency In vitro release Anti-cancer

来源：

维普期刊数据库评论

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Google Scholar University Ranking Algorithm to Evaluate the Quality of Institutional Research

引用

Computers, Materials & Continua 2023年第6期75卷 4955-4972页

作者： noor ul Sabah Muhammad Murad Khan Ramzan Talib Muhammad Anwar Muhammad Sheraz Arshad Malik Puteri Nor Ellyza Nohuddin Department of Computer Science Government College UniversityFaisalabad 38000Pakistan Department of Information Sciences Division of Science and TechnologyUniversity of EducationLahore54000Pakistan Department of Software Engineering Government College UniversityFaisalabad 38000Pakistan Institute of IR4.0 Universiti Kebangsaan MalaysiaBangiSelangor43600Malaysia

Education quality has undoubtedly become an important local and international benchmark for education,and an institute’s ranking is assessed based on the quality of education,research projects,theses,and dissertations,which has always been ***,this research paper is influenced by the institutes ranking all over the *** data of institutes are obtained through Google Scholar(GS),as input to investigate the United Kingdom’s Research Excellence Framework(UK-REF)*** this purpose,the current research used a Bespoke Program to evaluate the institutes’ranking based on their *** bespoke program requires changes to improve the results by addressing these methodological issues:Firstly,Redundant profiles,which increased their citation and rank to produce false ***,the exclusion of theses and dissertation documents to retrieve the actual publications to count for ***,the elimination of falsely owned articles from scholars’*** accomplish this task,the experimental design referred to collecting data from 120 UK-REF institutes and GS for the present year to enhance its correlation analysis in this new *** data extracted from GS is processed into structured data,and afterward,it is utilized to generate statistical computations of citations’analysis that contribute to the ranking based on their *** research promoted the predictive approach of correlational ***,experimental evaluation reported encouraging results in comparison to the previous modi-fication made by the proposed *** paper discussed the limitations of the current evaluation and suggested the potential paths to improve the research impact algorithm.

关键词： Google scholar institutes ranking research assessment exercise research excellence framework impact evaluation citation data

来源：

维普期刊数据库评论

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Eco-friendly biodegradable polyurethane based coating for antibacterial and antifouling performance

引用

Chinese Journal of Chemical Engineering 2023年第2期54卷 80-88页

作者： Abid Ali Bilal ul amin Wenwu Yu Taijiang Gui Weiwei Cong Kai Zhang Zheming Tong Jiankun Hu Xiaoli Zhan Qinghua Zhang College of Chemical and Biological Engineering Provincial Key Laboratory of Advanced Chemical Engineering Manufacture TechnologyZhejiang UniversityHangzhou 310027China Institute of Mold Technology Changzhou Vocational Institute of Mechatronic TechnologyChangzhou 213164China State Key Laboratory of Marine Coatings Marine Chemical Research Institute Co.LtdQingdao 266072China Quzhou Research Institute Zhejiang UniversityQuzhou 324000China

Biofouling, which comprises the absorption of proteins and the adhesion of bacteria to the surface of living entities, is a severe concern for the maritime sector since it ultimately leads to hydrodynamic drag,resulting in a higher increase in fuel consumption. As a result, polymer resins are crucial in the marine sector for anti-biofouling coatings. In this work, the poly(caprolactone-ethylene glycol-caprolactone)-p olyurethane(PECL-PU) are prepared through ε-caprolactone(CL), poly(ethylene glycol)(PEG), 4,4'-methylene bis(cyclohexyl isocyanate) and 1,4 butanediol. Our study demonstrate that the PECL-PU copolymer degraded in artificial seawater(5.21%), enzymatic solution(12.63%), and seawater(13.75%)due to the presence of PEG segments in the laboratory-based test under static condition. Because the addition of PEG segments are increased the polymer's amorphous area and decreased the crystallization of the polycaprolactone(PCL) in the copolymer, as demonstrated by differential scanning calorimetry, X-ray diffraction, and water contact angle studies. Therefore, the hydrolysis rates of PECL-PU were higher than the caprolactone-co-polyurethane(CL-PU). The antifouling test showed that PECL-PU3 copolymer had about 90.29% protein resistance, 85.2% Escherichia coli(E. coli) reduction and 94.61% marine diatom Navicula incerta reduction comparison to the control. We have developed an eco-friendly and inexpensive promising degradable polyurethane for reduction of bacterial biofilm, which can preserve the formation of biofouling on marine coating under practical sea conditions.

关键词： Caprolactone PEG segments Biodegradable polyurethane Biofouling Hydrolytic degradation

来源：

维普期刊数据库

同方期刊数据库评论

在线全文

学校读者我要写书评

暂无评论

Nd-doped NiFe_(2)O_(4) and its composite with CNTs to tune photocatalytic activity

引用

Journal of Rare Earths 2023年第12期41卷 1919-1928,I0004页

作者： Fatimah Mohammed AAlzahrani Amna Irshad Sonia Zulfiqar Z.A.Alrowaili noor ul Ain Asima Anwar Muhammad Farooq Warsi M.S.Al-Buriahi Department of Chemistry CollegeofSciencePrincess Nourah bint Abdulrahman UniversityP.O.Box 84428Riyadh11671Saudi Arabi Institute of Chemistry Baghdad-ul-Jadeed CampusThe Islamia University of BahawalpurBahawalpur6310Pakistan Department of Chemistry Faculty of ScienceUniversity of Ostrava30.Dubna 22Ostrava70103Czech Republic Department of Chemicaland Biological Engineering Iowa State UniversitySweeney Hall618 Bissll RoadAmesIowa 50011United States Department of Physics College of ScienceJouf UniversityPo.Box 2014SakakaSaudi Arabia Institute of Physics Baghdad-ul-Jadeed CampusThe Islamia University of BahawalpurBahawalpur63100Pakistan Department of Physics Sakarya UniversitySakaryaTurkey

Rare earth-doped spinel nano ferrites are attaining importance as heterogeneous nanocatalysts for the degradation of organic *** earth metal doping increases the electrical and optical properties,as well as the surface-to-volume ratio of the bare *** this work,NiFe_(2)O_(4)(NF) and Nd-NiFe_(2)O_(4)(NF-1) were successfully synthesized via the co-precipitation *** nanotubes(CNT)-based nanocomposite(NF-2) was prepared using the ultra-sonication *** prepared materials were analyzed via various physiochemical *** degradation efficiency of these materials was analyzed for the degradation of Rhodamine B,methylene blue,and benzoic acid,NF-2 shows the highest efficiency among all the prepared ***-2 shows 83.87%,90.80%,and 66.96% degradation of Rhodamine B,methylene blue,and benzoic acid,*** reason for the superior activity of NF-2 is the existence of rare earth Nd ions and *** surface area of NF increases due to the presence of carbon nanotubes and enhanced surface area provides more active sites for the degradation reaction.

关键词： XRD Carbon nanotubes Benzoic acid Photo-degradation Visible light Rare earths

来源：

维普期刊数据库

同方期刊数据库评论

在线全文

学校读者我要写书评

暂无评论

An Efficient Attention-Based Strategy for Anomaly Detection in Surveillance Video

引用

Computer Systems Science & Engineering 2023年第9期46卷 3939-3958页

作者： Sareer ul amin Yongjun Kim Irfan Sami Sangoh Park Sanghyun Seo Department of Computer Science and Engineering Chung-Ang UniversitySeoul06974Korea Intelligent Convergence Research Lab. ETRIDaeJeon34129Korea Department of Electrical and Electronics Engineering Chung-Ang UniversitySeoul06974Korea College of Art and Technology Chung-Ang UniversityAnseong17546Korea

In the present technological world,surveillance cameras generate an immense amount of video data from various sources,making its scrutiny tough for computer vision *** is difficult to search for anomalous events manually in thesemassive video records since they happen infrequently and with a low probability in real-world monitoring ***,intelligent surveillance is a requirement of the modern day,as it enables the automatic identification of normal and aberrant behavior using artificial intelligence and computer vision *** this article,we introduce an efficient Attention-based deep-learning approach for anomaly detection in surveillance video(ADSV).At the input of the ADSV,a shots boundary detection technique is used to segment prominent ***,The Lightweight ConvolutionNeuralNetwork(LWCNN)model receives the segmented frames to extract spatial and temporal information from the intermediate *** that,spatial and temporal features are learned using Long Short-Term Memory(LSTM)cells and Attention Network from a series of frames for each anomalous activity in a *** detect motion and action,the LWCNN received chronologically sorted ***,the anomaly activity in the video is identified using the proposed trained ADSV *** experiments are conducted on complex and challenging benchmark *** addition,the experimental results have been compared to state-ofthe-artmethodologies,and a significant improvement is attained,demonstrating the efficiency of our ADSV method.

关键词： Attention-based anomaly detection video shots segmentation video surveillance computer vision deep learning smart surveillance system violence detection attention model

来源：

维普期刊数据库评论

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Stock Market Index Prediction Using Machine Learning and Deep Learning Techniques

引用

Intelligent Automation & Soft Computing 2023年第8期37卷 1325-1344页

作者： Abdus Saboor Arif Hussain Bless Lord Y。Agbley amin ul Haq Jian Ping Li Rajesh Kumar Yangtze Delta Region Institute(Huzhou) University of Electronic Science and Technology of ChinaHuzhou313001China Abdul Wali Khan University Mardan Mardan23200Pakistan School of Computer Science and Engineering University of Electronic Science and Technology of ChinaChengdu611731China Brain Institute Peshawar Peshawar25130Pakistan

Stock market forecasting has drawn interest from both economists and computer scientists as a classic yet difficult *** the objective of constructing an effective prediction model,both linear and machine learning tools have been investigated for the past couple of *** recent years,recurrent neural networks(RNNs)have been observed to perform well on tasks involving sequence-based data in many research *** this motivation,we investigated the performance of long-short term memory(LSTM)and gated recurrent units(GRU)and their combination with the attention mechanism;LSTM+Attention,GRU+Attention,and LSTM+GRU+*** methods were evaluated with stock data from three different stock indices:the KSE 100 index,the DSE 30 index,and the BSE *** results were compared to other machine learning models such as support vector regression,random forest,and k-nearest *** best results for the three datasets were obtained by the RNN-based models combined with the attention *** performances of the RNN and attention-based models are higher and would be more effective for applications in the business industry.

关键词： Machine learning deep learning stock market prediction data analysis

来源：

维普期刊数据库评论

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

欢迎您,

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

在线全文

在线全文

在线全文

在线全文

在线全文

在线全文

在线全文

在线全文

在线全文

在线全文

请选择保存的检索档案：

请选择收藏分类：

通借通还

欢迎您,

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

在线全文

在线全文

在线全文

在线全文

在线全文

在线全文

在线全文

在线全文

在线全文

在线全文

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：