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45 results for “human brain”

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Research ArticleOpen accessIn the abstractDevelopment of an Android Recognition Open-Loop Tracking Control of Writing Robotic ArmShahriar Rahman Fahim, Sanjay Dey, Md. Rashiduzzaman et al.Writing is one of the medium of the manifestations of the expression which is staged by going through many evolutionary phases for the time being. And most importantly robots and technology are dramatically meliorated in the 21st century. So, robotic writing hand was introduced with the collaboration with human brain and technology. The whole methodology is staged for the development … …Journal of Mechatronics and Robotics, Vol. 3, Issue 1 · 30 Aug 2019 · 6,401 accessesView PDFCite
Review ArticleOpen accessIn the abstractMedical Service of RobotsRelly Victoria Virgil PetrescuToday, robots have not only penetrated to create microchips in electronics but also in medicine, where it helps to perform difficult operations, especially where precision is needed and the size is small and any human error could be fatal to the patient. Robots assist the doctor in heart, brain, kidney operations, not to mention bone implants and repair of damaged … …Journal of Mechatronics and Robotics, Vol. 3, Issue 1 · 24 Apr 2019 · 7,542 accessesView PDFCite
Research ArticleOpen accessIn the abstractPerformance Evaluation of Deep Learning Networks on Printed Odia CharactersSanjibani Sudha Pattanayak, Sateesh Kumar Pradhan, Ramesh Chandra MalikDeep machine learning includes a series of layers to mimic the working of the human brain for taking a decision. Deep learning networks have shown good results in character recognition in the past. This paper evaluates the performance of different deep learning networks like Convolutional Neural Network (CNN), Long Short-Term Memory (LSTM) based recurrent neural network and Convolutional LSTM on … …Journal of Computer Science, Vol. 16, Issue 7 · 25 Jul 2020 · 6,785 accessesView PDFCite
Research ArticleOpen accessIn the abstractInhibitory Effect of Crude Walnut Leaf Polysaccharides on Oxidative Damage of Proteins and Proliferation of SGC-7901 CellsShuqing Yang, Zhike Xie, Shuyan Yu et al.In this paper, we studied the inhibitory effect of crude Walnut Leaf Polysaccharides (WLP) on free radical-induced oxidative damage of proteins and anti-proliferation activity on human Gastric Cancer cells (SGC-7901). The oxidative degradation of Bovine Serum Albumin (BSA), mouse brain proteins (MBP) and Mouse Liver Proteins (MLP) induced by hydroxyl radical and alcoxyl radical was analyzed by Sodium Dodecyl Sulfate-Polyacrylamide … …American Journal of Biochemistry and Biotechnology, Vol. 16, Issue 2 · 26 Apr 2020 · 7,057 accessesView PDFCite
Literature ReviewOpen accessIn the abstractA Comprehensive Survey on Tools for Effective Alzheimer’s Disease DetectionN. Vinutha, G. U. Vasanthakumar, P. Deepa Shenoy, K. R. VenugopalNeuroimaging is considered as a valuable technique to study the structure and function of the human brain. Rapid advancement in medical imaging technologies has contributed significantly towards the development of neuroimaging tools. These tools focus on extracting and enhancing the relevant information from brain images, which facilitates neuroimaging experts to make better and quick decision for diagnosing enormous number of … …Neuroscience International, Vol. 9, Issue 1 · 4 Oct 2017 · 10,232 accessesView PDFCite
EditorialOpen accessIn the abstractBig Data and Parkinson’s Disease - from Understanding of Disease to Personalised MedicineYen F. Tai, Nicola PaveseThe advancement of information technology in recent years has generated a huge amount of datasets in all areas of scientific research. This has led to new opportunities to harness the 'Big Data' to improve our understanding of diseases - from investigating disease mechanisms to monitoring treatment responses. The Big Data approach is a data-driven and often hypothesis-free, way of studying … …Neuroscience International, Vol. 7, Issue 1 · 27 Jul 2016 · 7,755 accessesView PDFCite
EditorialOpen accessIn the abstractNanotechnology: Engineering Materials for a Better 21st CenturyMeng Qiao, Xiyun Liu, Lei ZhangToday, we are living in the midst of a technological revolution, where nanotechnology is demonstrating a greater commitment to make people’s everyday lives better. The aim of nanotechnology is to create new materials with desired properties by engineering their nanoscale structures and components. One of the most important impacts of nanotechnology is in medical diagnosis and treatment. Cardiovascular diseases such … …Current Research in Nanotechnology, Vol. 5, Issue 1 · 26 Nov 2014 · 8,737 accessesView PDFCite
Research ArticleOpen accessIn the abstractAMINO ACID TRANSPORTERS IN DRUG DISCOVERYMariafrancesca Scalise, Lorena Pochini, Michele Galluccio, Cesare IndiveriAdministered drugs interact with membrane transporters of epithelia, Blood Brain Barrier and other districts influencing their delivery and efficacy. Drugs can also be used as inhibitors of transporters involved in human pathology. Drug-transporter interactions are responsible of off-target effects contributing to toxicity. High Throughput Screening technologies increased the potential applications in therapy or in predicting side effects. These strategies will … …Current Research in Drug Discovery, Vol. 1, Issue 1 · 2 Oct 2014 · 7,099 accessesView PDFCite
Research ArticleOpen accessIn the abstractDETERMINATION OF EPILEPTIC DISORDER WITH DISCRETE WAVELET TRANSFORMS AND NEURAL NETWORK CLASSIFIERS. T. Sadish Kumar, N. KasthuriNowadays Epileptic disorder is a most challenge aspects in brain activation. Electroencephalograph (EEG) is one of the popular procedures to understand the human brain condition. The activation of brain will be changed due to the symptoms of neurological disorder. We have been proposed a procedure to find epilepsy disorder, using discrete wavelet transform and neural network classifier. The EEG classification … …Journal of Computer Science, Vol. 10, Issue 1 · 12 Nov 2013 · 6,657 accessesView PDFCite
Research ArticleOpen accessIn the abstractPREDICTION OF GLIOMA USING GENETIC OPTIMIZED NEURAL NETWORKS. Karpagam, S. GowriNeural networks are a computational paradigm model of the human brain that has become popular in recent years. We have tried to address the problem of Glioma by creating a more accurate classifier which can act as an expert assistant to medical practitioners. Brain stem gliomas are now recognized as a heterogenous group of tumors. In this study proposed a … …Journal of Computer Science, Vol. 9, Issue 11 · 1 Oct 2013 · 6,693 accessesView PDFCite