|
|
|
题名
|
作者
|
年代
|
出处
|
被引量
|
| 1 | Blood stemcell transplantation for chronic active Epstein-Barr virus with lymphoproliferation 显示文摘 | Okamura T Hatsukawa Y Avai H | 2000 | Lancet2000，356，9225： | 1 |
| 2 | Risk factors for hospitalization among older persons newly diagnosed with heart failure:The cardiovascular health study显示文摘 | Chaudhry SI Mc Avay G Chen S | 2013 | AM Coll J Cardiol2013，61，6： | 1 |
| 3 | Contribution of individual diseases to death in older adults with multiple diseases显示文摘 | Tinetti ME Mc Avay GJ Murphy TE | 2012 | J Am Geriatr Soc2012，60，8： | 1 |
| 4 | Prevalence and chemotherapy of Balantidium coli in cattle in the River Ravi region, Lahore(Pakistan) 显示文摘 | Bilal C Q Khan M S Avais M | 2009 | Vet Parasitol2009，163，12： | 1 |
| 5 | Self-efficacy beliefs and perceived declines in functional ability: Mac Arthur studies of successful aging显示文摘 | Seeman TE Unger JB Mc Avay | 1999 | Journal of Gerontology: Psychological Science1999，54，2： | 1 |
| 6 | Prevalence and chemotherapy of Balantidium coli in cattle in the River Ravi region, Lahore (Pakistan)显示文摘 | BILAL C Q KHAN M S AVAIS M | 2009 | Veterinary Parasitology2009，163，12： | 1 |
| 7 | Infection rate and chemotherapy of various helminthes in goats in and around Lahore 显示文摘 | ljaz M Khan S Avais M Ashraf K Ali MM Saima | 2008 | Pakistan Vet J2008，28，4： | 1 |
| 8 | Prevalence and chemotherapy of Balantidium coli in cattle in the River Ravi region,Lahore(Pakistan)显示文摘 | Bilal C Q Khan M S Avais M | 2009 | Vet Parasitol2009，163，12： | 1 |
| 9 | Effect of suffactant absorbed on encapsulation of fine inorganic powder withsoapless emulsion polymerization显示文摘 | Hasegawa Masahiro Avai Knnio Sato Shozab | 1987 | Polym Sci Part A: Polym Chem1987，25，12： | 1 |
| 10 | Prevalence and chemo therapy of Balantidium coli in cattle in the River Ravi region, La hore (Pakistan)显示文摘 | Bilal C Q Khan M S Avais M | 2009 | Vet Parasitol2009，163，12： | 1 |
| 11 | The impact of chronic illnesses on the use and effectiveness of adjuvant chemotherapy for colon cancer显示文摘 | Gross C P Mc Avay G J Guo Z | 2007 | Cancer2007，109，12： | 1 |
| 12 | Depressive symptoms and the risk of incident delirium in older hospitalized adults显示文摘 | Mc Avay GJ Van Ness PH Bogardus Jr ST | 2007 | J Am Geriatr Soc2007，55，5： | 1 |
| 13 | The ratio of FEV1 to FVC as a basis for establishing chronic obstructive pulmonary disease 显示文摘 | Vaz Fragoso C A Concato J Mc Avay G etal | 2010 | Am J Respir Crit Care Med2010，181，5： | 1 |
| 14 | Human Gait Recognition Based on Sequential Deep Learning and Best Features Selection显示文摘Gait recognition is an active research area that uses a walking theme to identify the subject correctly.Human Gait Recognition(HGR)is performed without any cooperation from the individual.However,in practice,it remains a challenging task under diverse walking sequences due to the covariant factors such as normal walking and walking with wearing a coat.Researchers,over the years,have worked on successfully identifying subjects using different techniques,but there is still room for improvement in accuracy due to these covariant factors.This paper proposes an automated model-free framework for human gait recognition in this article.There are a few critical steps in the proposed method.Firstly,optical flow-based motion region esti-mation and dynamic coordinates-based cropping are performed.The second step involves training a fine-tuned pre-trained MobileNetV2 model on both original and optical flow cropped frames;the training has been conducted using static hyperparameters.The third step proposed a fusion technique known as normal distribution serially fusion.In the fourth step,a better optimization algorithm is applied to select the best features,which are then classified using a Bi-Layered neural network.Three publicly available datasets,CASIA A,CASIA B,and CASIA C,were used in the experimental process and obtained average accuracies of 99.6%,91.6%,and 95.02%,respectively.The proposed framework has achieved improved accuracy compared to the other methods. | Ch Avais Hanif Muhammad Ali Mughal Muhammad Attique Khan Usman Tariq Ye Jin Kim Jae-Hyuk Cha | 2023 | Computers, Materials & Continua2023，，6： | 0 |
| 15 | Human Gait Recognition for Biometrics Application Based on Deep Learning Fusion Assisted Framework显示文摘The demand for a non-contact biometric approach for candidate identification has grown over the past ten years.Based on the most important biometric application,human gait analysis is a significant research topic in computer vision.Researchers have paid a lot of attention to gait recognition,specifically the identification of people based on their walking patterns,due to its potential to correctly identify people far away.Gait recognition systems have been used in a variety of applications,including security,medical examinations,identity management,and access control.These systems require a complex combination of technical,operational,and definitional considerations.The employment of gait recognition techniques and technologies has produced a number of beneficial and well-liked applications.Thiswork proposes a novel deep learning-based framework for human gait classification in video sequences.This framework’smain challenge is improving the accuracy of accuracy gait classification under varying conditions,such as carrying a bag and changing clothes.The proposed method’s first step is selecting two pre-trained deep learningmodels and training fromscratch using deep transfer learning.Next,deepmodels have been trained using static hyperparameters;however,the learning rate is calculated using the particle swarmoptimization(PSO)algorithm.Then,the best features are selected from both trained models using the Harris Hawks controlled Sine-Cosine optimization algorithm.This algorithm chooses the best features,combined in a novel correlation-based fusion technique.Finally,the fused best features are categorized using medium,bi-layer,and tri-layered neural networks.On the publicly accessible dataset known as the CASIA-B dataset,the experimental process of the suggested technique was carried out,and an improved accuracy of 94.14% was achieved.The achieved accuracy of the proposed method is improved by the recent state-of-the-art techniques that show the significance of this work. | Ch Avais Hanif Muhammad Ali Mughal Muhammad Attique Khan Nouf Abdullah Almujally Taerang Kim Jae-Hyuk Cha | 2024 | Computers, Materials & Continua2024，78，1： | 0 |
您所在的机构暂未开通此部分的功能，请联系管理员