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Papers by Basant Ali

Research paper thumbnail of Incremental Learning Approach for Enhancing the Performance of Multi-Layer Perceptron for Determining the Stock Trend

International Journal of Sciences Basic and Applied Research, May 21, 2014

Research paper thumbnail of Applying Data Mining Techniques for Predicting Diseases

International Journal of Advanced Networking and Applications, 2019

The techniques of data mining are very popular of Diseases. The advancement in health analysis ha... more The techniques of data mining are very popular of Diseases. The advancement in health analysis has been improved by technical advances in computation, automation and data mining. Nowadays, data mining is getting used in a vast area .The Nature of the medical field is made with the knowledge wherever there's a spread of data but untapped during a correct. and thus, the foremost serious challenge facing this area is the quality of service provided which suggests to create the diagnose during a correct manner in a timely manner and supply acceptable medications to patients. Thus Health information technology has emerged as a replacement technology within the health care sector in a short amount by utilizing Business Intelligence 'BI' that could be a data-driven Decision Support System. The various techniques of data mining are used and compared during this analysis.

Research paper thumbnail of First-principles roadmap and limits to design efficient supercapacitor electrode materials

First-principles roadmap and limits to design efficient supercapacitor electrode materials

Physical Chemistry Chemical Physics

Our life is turning into an electronic world where we need our devices charged all the time. Alth... more Our life is turning into an electronic world where we need our devices charged all the time. Although batteries have been doing the job so far, we need devices that...

Research paper thumbnail of Detecting over fitting of Stock Trend Prediction based on Artificial Intelligence Techniques

Proceedings of the 8th INDIACom; INDIACom-2014 2014 International Conference on “Computing for Sustainable Global Development”, 5th – 7th March, 2014 Bharati Vidyapeeth’s Institute of Computer Applications and Management (BVICAM), New Delhi (INDIA), 2014

One of the greatest challenges to predict the stock market next change. However, stock prices hav... more One of the greatest challenges to predict the stock market next change. However, stock prices have dramatically change , it is an essential need to find an answer to the question of when to buy and sell and forecast the future price of a stock to achieve the main goal of high returns and minimize dramatic losses. In this paper the proposed system based on avoiding over fitting training to have an efficient technique of artificial intelligence support vector machines, neural network, and Gene Expression programming. strategies that are used for analytical purposes is accuracy of the classification .this strategy allow forecasting future price changes, and help decision maker to take successful decisions. The proposed system are based on mathematical considerations prove its efficiency and accuracy to predict the future stock trend.

Research paper thumbnail of Incremental Learning Approach for Enhancing the Performance of Multi-Layer Perceptron for Determining the Stock Trend

International Journal of Sciences: Basic and Applied Research (IJSBAR), 2014

This paper introduces a new technique for achieving minimum risk of predicting stock trend using ... more This paper introduces a new technique for achieving minimum risk of predicting stock trend using multi-layer perceptron. The proposed technique presents the method of classification the stock trend .the paper show a comparison among multi-layer perceptron, gene learning theory. The achieved results show the superior performance of the multi-layer perceptron which is based on mathematical back ground.

Research paper thumbnail of Hybridization between Grid Search and Support Vector Machines for Predicting Stock Trend

International Journal of Advanced Research in Computer Science and Software Engineering, 2013

This paper presents a novel method for predicting stock trend by using Hybridization between Grid... more This paper presents a novel method for predicting stock trend by using Hybridization between Grid Search , pattern search and Support Vector Machines. The main aim of this paper displays how this Hybridization between Grid Search and Support Vector Machines can avoid the problem of overfitting .the paper introduce experiments performed on famous bench mark problem as empirical evidence .in addition it is applied on the case study of Egyptian stock market. The proposed approach has shown the efficiency and accuracy in the predicting the stock trend compared the classical support vector machines.

Research paper thumbnail of Predicting the Stock Trend by Artificial Intelligence Techniques based on Structural Risk Minimization

International Journal of Advanced Research in Computer Science and Software Engineering, 2013

This paper presents an approach for minimizing the risk of prediction stock trend based on struct... more This paper presents an approach for minimizing the risk of prediction stock trend based on structural risk minimization (SRM) for artificial intelligence techniques: multi-layer precptron, gene expression programming, the new technique support vector machines introduced by Vapnik and Chervonenkies (VC). The proposed system presents the prediction the stock trend by learning process through classification. The paper shows a comparison among multi-layer precptron, gene expression programming, and support vector machines. The results indicate to the superior performance of the support vector machines (based on mathematical background) compared by multi-layer precptron, gene expression programming.

Research paper thumbnail of Applying Data Mining Techniques for Predicting Diseases

Int. J. Advanced Networking and Applications , 2019

The techniques of data mining are very popular of Diseases. The advancement in health analysis ha... more The techniques of data mining are very popular of Diseases. The advancement in health analysis has been improved by technical advances in computation, automation and data mining. Nowadays, data mining is getting used in a vast area .The Nature of the medical field is made with the knowledge wherever there's a spread of data but untapped during a correct. and thus, the foremost serious challenge facing this area is the quality of service provided which suggests to create the diagnose during a correct manner in a timely manner and supply acceptable medications to patients. Thus Health information technology has emerged as a replacement technology within the health care sector in a short amount by utilizing Business Intelligence 'BI' that could be a data-driven Decision Support System. The various techniques of data mining are used and compared during this analysis.

Conference Presentations by Basant Ali

Research paper thumbnail of The Principle Internet of Things (IoT) Security Techniques Framework Based on Seven Levels IoT’s Reference Model

The Principle Internet of Things (IoT) Security Techniques Framework Based on Seven Levels IoT’s Reference Model

In the Proceeding of ITAF 2019, Internet of Things—Applications and Future Conference, Springer, Lecture Notes in Networks and Systems book series, LNNS, Volume 114, PP 219-237., 2020

Basically, by increasing Internet of Things (IoT) paradigm involvement in our lives, a lot of thr... more Basically, by increasing Internet of Things (IoT) paradigm involvement in our lives, a lot of threats and attacks regarding IoT security and privacy are realized and raised. If they are left without taking extensive considerations, such security and privacy issues and challenges can certainly threaten the IoT existence. Such security and privacy issues are derived from many reasons. One of these reasons is the unavailability of universal accepted appropriate IoT security techniques, methods, and guidelines. These methods and techniques will greatly guide IoT developers and engineering, draw the success road for developing, and implementing secure IoT systems. So, our contribution focusses on such objective in which, we propose a comprehensive IoT security and privacy framework based on the seven levels of IoT reference architecture introduced by Cisco, in which a set of proper security techniques and guidelines is specified for each level.
Additionally, we identify several critical techniques which can be accomplished for blocking many possible attacks against the IoT seven levels.

Research paper thumbnail of Incremental Learning Approach for Enhancing the Performance of Multi-Layer Perceptron for Determining the Stock Trend

International Journal of Sciences Basic and Applied Research, May 21, 2014

Research paper thumbnail of Applying Data Mining Techniques for Predicting Diseases

International Journal of Advanced Networking and Applications, 2019

The techniques of data mining are very popular of Diseases. The advancement in health analysis ha... more The techniques of data mining are very popular of Diseases. The advancement in health analysis has been improved by technical advances in computation, automation and data mining. Nowadays, data mining is getting used in a vast area .The Nature of the medical field is made with the knowledge wherever there's a spread of data but untapped during a correct. and thus, the foremost serious challenge facing this area is the quality of service provided which suggests to create the diagnose during a correct manner in a timely manner and supply acceptable medications to patients. Thus Health information technology has emerged as a replacement technology within the health care sector in a short amount by utilizing Business Intelligence 'BI' that could be a data-driven Decision Support System. The various techniques of data mining are used and compared during this analysis.

Research paper thumbnail of First-principles roadmap and limits to design efficient supercapacitor electrode materials

First-principles roadmap and limits to design efficient supercapacitor electrode materials

Physical Chemistry Chemical Physics

Our life is turning into an electronic world where we need our devices charged all the time. Alth... more Our life is turning into an electronic world where we need our devices charged all the time. Although batteries have been doing the job so far, we need devices that...

Research paper thumbnail of Detecting over fitting of Stock Trend Prediction based on Artificial Intelligence Techniques

Proceedings of the 8th INDIACom; INDIACom-2014 2014 International Conference on “Computing for Sustainable Global Development”, 5th – 7th March, 2014 Bharati Vidyapeeth’s Institute of Computer Applications and Management (BVICAM), New Delhi (INDIA), 2014

One of the greatest challenges to predict the stock market next change. However, stock prices hav... more One of the greatest challenges to predict the stock market next change. However, stock prices have dramatically change , it is an essential need to find an answer to the question of when to buy and sell and forecast the future price of a stock to achieve the main goal of high returns and minimize dramatic losses. In this paper the proposed system based on avoiding over fitting training to have an efficient technique of artificial intelligence support vector machines, neural network, and Gene Expression programming. strategies that are used for analytical purposes is accuracy of the classification .this strategy allow forecasting future price changes, and help decision maker to take successful decisions. The proposed system are based on mathematical considerations prove its efficiency and accuracy to predict the future stock trend.

Research paper thumbnail of Incremental Learning Approach for Enhancing the Performance of Multi-Layer Perceptron for Determining the Stock Trend

International Journal of Sciences: Basic and Applied Research (IJSBAR), 2014

This paper introduces a new technique for achieving minimum risk of predicting stock trend using ... more This paper introduces a new technique for achieving minimum risk of predicting stock trend using multi-layer perceptron. The proposed technique presents the method of classification the stock trend .the paper show a comparison among multi-layer perceptron, gene learning theory. The achieved results show the superior performance of the multi-layer perceptron which is based on mathematical back ground.

Research paper thumbnail of Hybridization between Grid Search and Support Vector Machines for Predicting Stock Trend

International Journal of Advanced Research in Computer Science and Software Engineering, 2013

This paper presents a novel method for predicting stock trend by using Hybridization between Grid... more This paper presents a novel method for predicting stock trend by using Hybridization between Grid Search , pattern search and Support Vector Machines. The main aim of this paper displays how this Hybridization between Grid Search and Support Vector Machines can avoid the problem of overfitting .the paper introduce experiments performed on famous bench mark problem as empirical evidence .in addition it is applied on the case study of Egyptian stock market. The proposed approach has shown the efficiency and accuracy in the predicting the stock trend compared the classical support vector machines.

Research paper thumbnail of Predicting the Stock Trend by Artificial Intelligence Techniques based on Structural Risk Minimization

International Journal of Advanced Research in Computer Science and Software Engineering, 2013

This paper presents an approach for minimizing the risk of prediction stock trend based on struct... more This paper presents an approach for minimizing the risk of prediction stock trend based on structural risk minimization (SRM) for artificial intelligence techniques: multi-layer precptron, gene expression programming, the new technique support vector machines introduced by Vapnik and Chervonenkies (VC). The proposed system presents the prediction the stock trend by learning process through classification. The paper shows a comparison among multi-layer precptron, gene expression programming, and support vector machines. The results indicate to the superior performance of the support vector machines (based on mathematical background) compared by multi-layer precptron, gene expression programming.

Research paper thumbnail of Applying Data Mining Techniques for Predicting Diseases

Int. J. Advanced Networking and Applications , 2019

The techniques of data mining are very popular of Diseases. The advancement in health analysis ha... more The techniques of data mining are very popular of Diseases. The advancement in health analysis has been improved by technical advances in computation, automation and data mining. Nowadays, data mining is getting used in a vast area .The Nature of the medical field is made with the knowledge wherever there's a spread of data but untapped during a correct. and thus, the foremost serious challenge facing this area is the quality of service provided which suggests to create the diagnose during a correct manner in a timely manner and supply acceptable medications to patients. Thus Health information technology has emerged as a replacement technology within the health care sector in a short amount by utilizing Business Intelligence 'BI' that could be a data-driven Decision Support System. The various techniques of data mining are used and compared during this analysis.

Research paper thumbnail of The Principle Internet of Things (IoT) Security Techniques Framework Based on Seven Levels IoT’s Reference Model

The Principle Internet of Things (IoT) Security Techniques Framework Based on Seven Levels IoT’s Reference Model

In the Proceeding of ITAF 2019, Internet of Things—Applications and Future Conference, Springer, Lecture Notes in Networks and Systems book series, LNNS, Volume 114, PP 219-237., 2020

Basically, by increasing Internet of Things (IoT) paradigm involvement in our lives, a lot of thr... more Basically, by increasing Internet of Things (IoT) paradigm involvement in our lives, a lot of threats and attacks regarding IoT security and privacy are realized and raised. If they are left without taking extensive considerations, such security and privacy issues and challenges can certainly threaten the IoT existence. Such security and privacy issues are derived from many reasons. One of these reasons is the unavailability of universal accepted appropriate IoT security techniques, methods, and guidelines. These methods and techniques will greatly guide IoT developers and engineering, draw the success road for developing, and implementing secure IoT systems. So, our contribution focusses on such objective in which, we propose a comprehensive IoT security and privacy framework based on the seven levels of IoT reference architecture introduced by Cisco, in which a set of proper security techniques and guidelines is specified for each level.
Additionally, we identify several critical techniques which can be accomplished for blocking many possible attacks against the IoT seven levels.