Gastrointestinal polyps are considered to be the precursors of cancer development in most cases. Therefore, early detection and removal can reduce possibility cancer. Video endoscopy is used diagnostic modality for gastrointestinal polyps. But, because it an operator dependent procedure, several human factors lead misdetection Computer aided polyp miss rate assists doctors finding important regions pay attention to. In this paper, automatic system has been proposed as a support detection....

Predicting closing stock price accurately is an challenging task. Computer aided systems have been proved to be helpful tool for prediction such as Artificial Neural Net-work(ANN), Adaptive Neuro Fuzzy Inference System (ANFIS) etc. Latest research works prove that shows better results than Network prediction. In this paper, improved Levenberg Marquardt(LM) training algorithm of artificial neural network has proposed. Improved Marquardt can predict the possible day-end with less memory and...

The Internet of Things (IoT) has brought new ways for humans and machines to communicate with each other over the internet. Though sensor-driven devices have largely eased our everyday lives, most IoT infrastructures been suffering from security challenges. Since emergence IoT, lightweight block ciphers a better option intelligent sensor-based applications. When public-key infrastructure dominates worldwide, symmetric key encipherment such as Advanced Encryption Standard (AES) shows immense...

While the convergence of Artificial Intelligence (AI) techniques with improved information technology systems ensured enormous benefits to Internet Vehicles (IoVs) systems, it also introduced an increased amount security and privacy threats. To ensure IoVs data, preservation methodologies have gained significant attention in literature. However, these strategies need specific adjustments modifications cope advances design. In interim, Federated Learning (FL) has been proven as emerging idea...

Stock market prediction plays a vital rule in taking financial decisions.Various factors affecting the stock makes somewhat complex and difficult.Different data mining techniques such as Artificial Neural Network (ANN), Adaptive Neuro-Fuzzy Inference System (ANFIS) etc are being widely used for predicting prices of different exchange cases.But there is no good work on using ANN AN-FIS Bangladesh Markets.The goal this paper to find out an efficient soft computing technique Dhaka Exchange...

Nowadays, Quantum-dot Cellular Automata (QCA) is a well-known technology for designing digital systems. Actually, QCA the most possible alternative semiconductor transistor based technology. In this paper, an improved design of convolution encoder has been proposed. The proposed outperforms previous from view size, speed, and power consumption. A popular simulator, QCADesigner used simulating verifying encoder. Simulation result shows encoder's dominance against designs context cell number,...

Abstract Rainfall prediction is a challenging task and has extreme significance in weather forecasting. Accurate rainfall can play great role agricultural, aviation, natural phenomenon, flood, construction, transport, etc. Weather or climate assumed to be one of the most complex systems. Again, chaos, also called as “butterfly effect,” limits our ability make predictable. So, it not easy predict by conventional machine learning approaches. However, several kinds research have been proposed...

Tea, a favourite bevarage in the world is made of tender new leaves tea plant.So plantation more concerned with leaf diseases.Infected may be source disease for reducing productivity plant.In order to reduce disease, recognition initial step.Many techniques have been used recognition.In this paper, we proposed model recognising diseases, which uses color wavelet features and adaptive neuro fuzzy inference system (ANFIS).After processing images, are extracted provided Adaptive Neuro Fuzzy...

Question answering (QA) problem is one of the most frequent tasks in natural language processing (NLP) over input. To understand language, semantic parsing an extensively used process. For deriving syntactic and structures texts, synchronous frameworks are being frequently. With aim questions efficiently, this paper, approach by texts with a view to leveraging information introduced. The proposed uses method based on lambda calculus for derive logical forms sentences. analyzed collecting...

Accurate building energy prediction is useful in various applications starting from automation and management to optimal storage control. However, vulnerabilities should be considered when designing models, as intelligent attackers can deliberately influence the model performance using sophisticated attack models. These may consequently degrade accuracy, which affect efficiency of systems. In this paper, we investigate impact bi-level poisoning attacks on regression models usage obtained...

Traffic sign recognition is a major part of an automated intelligent driving vehicle or driver assistance systems.Perfect traffic helps system giving valuable information about road signs,warnings, prohibitions thus increasing speed, security and decreasing risk accident.Many techniques have been used for recognising signs such as backpropagation neural network,support vector machines,convolutional network etc on different shaped signs.Fuzzy inference has not in deep this purpose.In paper,...

This is the age of digital systems.Now a days, everything being computerized.Peoples are using mobile phones, laptop, computer, camera, notebook, pdf reader etc systems too much than ever.Use papers and pen, printed books decreasing.Rather peoples means communication, study, documentation.Optical character recognition an application these systems.There many ways to recognize from document.Many research works have been done for OCR in different languages neural network, support vector...

In this paper, bangla handwritten digit recognition based post office automation system has been proposed for Bangladeshi Post offices. Actually, postal is not any new concept in developed countries, as they are already practicing this. Though Bangladesh entered the digital era, systems digitalized still now. Proposed automatically sorts mails according to code, thus it can save time and money, reducing necessity of manual sorting. Envelopes each scanned region containing code information...

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Folklore, a solid branch of folk literature, is the hallmark any nation or society. Such as oral tradition; proverbs jokes, it also includes material culture well traditional beliefs, and various customs. Bengali folklore rich in-depth amazing. Nevertheless, in womb time, determined to sustain its existence. Therefore, our aim this study make more comprehensible everyone sophisticated computational way. Some studies concluded aspects language with NLP. Our proposed model be specific for...