In this paper, simulated annealing guided traingularized encryption using multilayer perceptron generated session key (SATMLP) has been proposed for secured wireless communication. Both sender and receiver station uses identical multilayer perceptron and depending on the final output of the both side multilayer perceptron, weights vector of hidden layer get tuned in both ends. After this tunnin...

In this work we address the challenging problem of unsupervised learning from videos. Existing methods utilize the spatio-temporal continuity in contiguous video frames as regularization for the learning process. Typically, this temporal coherence of close frames is used as a free form of annotation, encouraging the learned representations to exhibit small differences between these frames. But ...

Variable Stiffness Actuators (VSAs) emerged as an alternative to conventional actuators in a variety of applications, such as walking robots and service robotics. New requirements, which were obviated in the design of rigid actuators, must be accounted for during the mechanical design of such new devices. Among them, we find the possibility of tunning the natural frequency of the mechanical sys...

Introduction: The introduction of the otomicroscope in ear surgery has undoubtedly resulted in a better and more scientific approach to ear disease and has also added a fresh dimension to the treatment of chronic suppurative otitis media i.e. reconstruction of hearing mechanism. Although western reports indicate that the rate of cholesteatomatous complications is as low as 1 or 2 percent, it re...

Pathological evaluation of tumor tissue is pivotal for diagnosis in cancer patients and automated image analysis approaches have great potential to increase precision of diagnosis and help reduce human error. In this study, we utilize several computational methods based on convolutional neural networks (CNN) and build a stand-alone pipeline to effectively classify different histopathology image...

Question answering for Machine reading evaluation track is a aim to check machine understanding ability of a machine.As we analyzed most crusial part for efficient working of this system is to select text which needs to be considered for understanding since understanding text would involve a lot of NLP processing. This paper covers our submitted system for QA4MRE campaign, Which mostly focuses ...

In theoretical physics, the fundamental nature and evolution mechanism of dark energy is still an open question. General Relativity Theory, simplest explanation for cosmological constant Λ. However, Λ facing a sensitive problem called fine-tunning problem. present work, we follow different approach where gravitational sector responsible candidate instead matter source. The modified symmetric te...

Recurrent Neural Networks (RNNs) and transformers are deep learning models that have achieved remarkable success in several Natural Language Processing (NLP) tasks since they do not rely on handcrafted features nor enormous knowledge resources. Named Entity Recognition (NER) is an essential NLP task used many applications such as information retrieval, question answering, machine translation. N...

Thermal comfort is one of the most important factors indoor environment quality, affecting occupants’ well-being and work efficiency. With advent smart control technology, personalized intelligent air conditioners have been promoted for occupant-centric air-conditioning control. Based on commonly used (AC), this paper quantitatively describes method occupant thermal preference adaptation, propo...

Deep neural networks (DNNs) have become a widely deployed model for numerous machine learning applications. However, their fixed architecture, substantial training cost, and significant redundancy make it difficult to efficiently update them accommodate previously unseen data. To solve these problems, we propose an incremental framework based on grow-and-prune network synthesis paradigm. When n...