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International Conference on Computational and Characterization Techniques in engineering & sciences (CCTES)

作者： Raman Tirpude A. Vinitha Ahmed Kateb Jumaah Al-Nussairi Hawraa Ali Sabah Maki Mahdi Abdulhasan Manar Kareem Lafta Department of Management Research Scholar Ramdeobaba University and Assistant Professor at Maharashtra National Law University Nagpur Department of Computer Science Karpagam Academy of Higher Education Coimbatore Al-Manara College for Medical Sciences Amarah Iraq College of Technical Engineering National University of Science and Technology Dhi Qar Iraq Department of Technology Al-Nisour University College Baghdad Iraq Department of Pharmacy Mazaya University College Iraq

ISBN: (数字)9798350364699

ISBN: (纸本)9798350364705

Urban planning and development have undergone a complete transformation with the advent of the Internet of Things (IoT), and groundbreaking technologies have been made available for smart city efforts. The inclusion of Internet of Things (IoT) technology in the design and development of smart cities is examined in this article. The significance that these technologies play in improving resource management, modernizing urban infrastructure, and elevating people's quality of life is given special consideration. This paper evaluates existing Internet of Things (IoT) applications, like intelligent transportation systems, smart grids, and environmental monitoring, to show how the Internet of Things (IoT) might address common urban issues like traffic congestion, energy consumption, and environmental pollution. Furthermore, the essay examines case studies submitted by well-known smart cities to show how the Internet of Things (IoT) may be successfully used and how it affects the sustainability and efficiency of metropolitan areas. The results suggest that the Internet of Things not only facilitates real-time data collection and analysis but also fosters the creation of creative urban development ideas. Thanks to the research that was done, this study shows how the Internet of Things has the potential to impact future cities and make them more resilient, adaptable, and effective in meeting the needs of growing populations.

关键词： Pollution Smart cities Urban planning Transportation Data collection Real-time systems Smart grids Internet of Things Environmental monitoring Sustainable development

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Automated data preprocessing and training interface for machine learning applications

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AIP Conference Proceedings 2024年第1期2942卷

作者： Anagha Challa Akhila Vutukuri Maithreyi Kenguva Sateesh Kumar Kanagala Department of Electronics and Computer Engineering Sreenidhi Institute of Science and Technology Hyderabad India Assistant Professor Department of Electronics and Computer Engineering Sreenidhi Institute of Science and Technology Hyderabad India

Machine learning is a promising tool for analyzing and predicting data. However, it is very time-consuming and challenging to manually process the data. There are also many missing values in the data that can affect the accuracy of the models. We propose an automated approach to pre-process the data. It efficiently performs the various steps involved in the data cleaning process by converting the categorical values to a label encoded value, sampling the data, and replacing the missing values with the appropriate central tendency. This project takes the raw data as input and provides a clean error-free dataset that is suitable for training machine learning models. It also aims to use a web application to automate data pre-processing and training of classification and regression models. It uses multiple algorithms and normalization strategies to get the optimum model based on the desired metric. It allows users to download the clean dataset as well as the trained models after the models have been trained. Multiple datasets, including binary classification and regression, are used to test this model.

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Artificial super intelligence: Barriers and limitations

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AIP Conference Proceedings 2024年第1期3209卷

作者： Rahul Goyal Neha Sharma Amanpreet Kaur Student Department of Computer Science and Engineering Chitkara University Institute of Engineering & technology Chitkara University Punjab India. Assistant Professor Department of Computer Science and Engineering Chitkara University Institute of Engineering & Technology Chitkara University Punjab India Professor Department of Computer Science and Engineering Chitkara University Institute of Engineering & Technology Chitkara University Punjab India.

In urban studies, artificial intelligence systems are a widely recognized technology that provides an alternate approach to dealing with complicated and dynamic issues. Despite the risks of implementing more powerful artificial intelligence, many big tech companies are working towards it. So, this paper aims to show the barriers to artificial intelligence. Also, this paper illustrates barriers in machines that prevent artificial superintelligence from being achieved. Further, the paper discusses how machine neural networks differ from human neural networks and the existential threats posed by artificial intelligence and superintelligence.

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Intrusion Detection in Cloud Architecture Using Machine Learning

Intrusion Detection in Cloud Architecture Using Machine Lear...

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Advances in Computing, Communication Control and Networking (ICAC3N), International Conference on

作者： Govinda Rajulu. G R. Santhoshkumar D. Venkatesan Kalvikkarasi. S P. Santosh Kumar Patra Department of Computer Science and Design St. Martin’s Engineering College Department of Artificial Intelligence and Data Science St. Martin’s Engineering College Department of Artificial Intelligence and Machine Learning Department of CSE St. Martin’s Engineering College Professor in ECE Department Podhagai College of Engineering & Technology St. Martin’s Engineering College

The research of Intrusion Detection Systems is known to be among the most challenging aspects of Cloud Security. In the context of the cloud, security breaches such as denial of service, scanning, injection of malicious code, viruses, worms, and the breaking of passwords are becoming increasingly commonplace. In the event that these attacks are not stopped in a timely manner, the company's reputation may be put in jeopardy, and it may sustain financial harm. As a consequence of this, it is essential to safeguard the cloud against dangers of this kind. In this research, we provide solutions to defend cloud systems by incorporating some of the most successful methods of intrusion detection. Within IDS, our primary focus has been placed on two critical aspects: the effectiveness of the detection techniques and the pace of detection. In order to overcome these obstacles, we suggest utilising machine learning in conjunction with parallelization. Approaches based on machine learning gain information from the data itself, hence diminishing the significance of the human expert. In order to identify intrusions, statistical models, safe system approaches, neural networks, and a variety of other methods are utilised. The purpose of this study is to improve the accuracy of intrusion detection in cloud computing by presenting a new approach to intrusion detection that is based on existing intrusion detection systems and the various architectures that those systems employ.

关键词： Databases Cloud computing security Neural networks Intrusion detection computer architecture Passwords Decision trees

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Applications of Artificial Intelligence in Biomedical Image Processing 2

Applications of Artificial Intelligence in Biomedical Image ...

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2nd International Conference on Artificial Intelligence and Smart Energy, ICAIS 2022

作者： Rajeyyagari, Sivaram Hung, Bui Thanh Chakrabarti, Prasun Shaqra University College of Computing and Information Technology Department of Computer Science Shaqra Saudi Arabia Thu Dau Mot University Data Analytics and Artificial Intelligence Laboratory Engineering Technology Faculty Thu Dau Mot Viet Nam Provost and Institute Endowed Distinguished Senior Chair Professor Techno India Njr Institute of Technology Rajasthan India

ISBN: (纸本)9781665400527

The biomedical applications of nanoparticles are growing in recent years. The uses range from diagnostic to therapeutic purposes, and researchers are constantly introducing new ways. Biosensors, miniaturization techniques, surface enhancement in implantable biomaterials, and better nanofibers in medical textiles are some of the contributions of biomedical nanotechnology. Therapeutic (medical) imaging successfully maps the anatomy of the human body. Image enhancement, analysis, categorization, and image based representation are all possible areas of computer processing and analysis of medical images. Therapeutic image understanding uses computer vision, applied mathematics, signal analysis, and artificial intelligence to recognise objects in medical images. Image processing is the use of computer algorithms to manipulate digital images. Hand-held transducers emit and receive pulsed acoustic waves for medical ultrasound imaging. In this study, a computer-aided diagnosis method is developed to help cytotechnicians locate and classify aberrant cells in cervical cytology images. With the outcomes of morphological and statistical edge based segmentation are compared to traditional segmentation techniques. The proposed segmentation methodology outperforms the other methods. This proposed technique's segmentation accuracy is 98%. © 2022 IEEE.

关键词： Artificial intelligence

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Green materials & construction: A step towards sustainable environment

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AIP Conference Proceedings 2024年第1期3050卷

作者： Swedika Sharma Assistant Professor Department of Computer Science and Engineering & USB Chandigarh University Punjab 140431 India

The built environment, energy, and thermal comforts are all interrelated. The remarkable expansion by construction sector, lead to dense pollution due to the population growth and increased thermal comfort needs. Construction, one of India’s primary economic sectors, compared to the 6% global average, is expanding at a 9% yearly pace. Buildings require a lot of energy to construct, operate, and maintain. Greater than 33 % of electricity in India are used by the building sector. The numerous steps made throughout the world to lower building energy use and carbon footprint via the use of green building techniques are addressed in this article. The current status of green building programmes, as well as the grading and certification processes for green buildings in India, are also covered.

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A global analysis and outlook for the sustainable materials approach to corporate social responsibility

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AIP Conference Proceedings 2024年第1期3050卷

作者： Swedika Sharma Assistant Professor Department of Computer Science and Engineering & USB Chandigarh University Punjab 140431 India

As a result of the globalization process, businesses are compelled to follow CSR and best practises from a sustainable stance towards their stakeholders and society. By evaluating the importance of corporate social responsibility (CSR) and its relationship to sustainability, the explicit purpose is to develop trends and future study fields. The global evolution of this field’s study was looked at from 2001 to 2018. The scientific production of the journals, authors, organisations, and nations that contributed to this study was evaluated by a bibliometric analysis of 1832 publications. There is growing evidence that people are interested in learning more about the connections between sustainability and socially responsible behaviour. The core category is made up of accounting, management, and business. The most successful journal is the Journal of Business Ethics and Sustainability. The United States is the country with the most publications and quotations. France and China are the two countries that collaborate on international projects the most. Global research has been trending upward in recent years, with great publication rates.

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Monitoring of Fire within Forest Using Advanced Digital Differential Based Neural Network

Monitoring of Fire within Forest Using Advanced Digital Diff...

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Communication, computer sciences and engineering (IC3SE), International Conference on

作者： Radhika Kumari Kiranbir Kaur Gunjan Chhabra Isha Salil Bharany Keshav Kaushik Cyber Security & IOT Malla Reddy University Hyderabad Telangana India CET Department Guru Nanak Dev University Amritsar Punjab India Department of CSE Graphic Era Hill University Adjunct Professor Graphic Era Deemed to be University Dehradun Uttarakhand India Computer Science and Engineering Lovely Professional University Phagwara Punjab India Independent Researcher Amritsar Punjab India School of Computer Science University of Petroleum and Energy Studies Dehradun Uttarakhand India

ISBN: (数字)9798350366846

ISBN: (纸本)9798350366853

Analysis of forest fires True video surveillance is a challenging task. The same is due to differences in appearance, changes in lighting, and variations in speeds. This study suggested a mechanism for effectively monitoring fires in forests that can instantly identify the movement of traffic. Our research generally contributes to the development of technologically based solutions for mitigating the consequences of forest fires and defending our environment and communities. Due to their rapid spread and destruction, forest fires represent a significant threat to both natural ecosystems and human societies. In order to address this urgent issue, this study explores how cutting-edge digital differential-based neural networks (DDNNs) might be utilized to monitor and manage forest fires. This method is made up of three different parts, one of which is a background subtraction-based evaluation of vehicle density. The second component uses an optical flow mechanism to estimate the pace of the fire within the forest flow. The last component involves assessing the number of Area using a better differential approach. With the help of the obtained fundamental data, our system can predict a wide range of events, such as substantial fire activity in forest zones, area over speeding, and more. The simulation is done using the Kaggle data set that depicts a forest fire.

关键词： Neural networks Lighting Forestry Video surveillance Stability analysis Performance analysis Task analysis

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Human-computer Interaction: Innovations and Challenges in Virtual Reality

Human-Computer Interaction: Innovations and Challenges in Vi...

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International Conference on science Technology engineering and Management (ICONSTEM)

作者： Cuddapah Anitha Prem latha Soundarraj N. Geethanjali C. Boopathy A. Narasima Venkatesh I. Mohana Krishna Department of Computer Science and Engineering School of Computing Mohan Babu University Erstwhile SreeVidyanikethan Engineering College Tirupati School of Business and Management Christ University Pune Lavasa Maharashtra Department of Management Studies PSNA College of Engineering and Technology Dindigul Tamil Nadu School of Management Studies Sri Krishna College of Engineering and Technology Kuniyamuthur Coimbatore Professor and Head of The Department HRM and General Management ISBR Business School Bangalore Karnataka India K L Business School KLEF Vaddeswaram Andhra Pradesh

ISBN: (数字)9798350365092

ISBN: (纸本)9798350365108

In an effort to shed light on the advances and difficulties that are shaping the area of Virtual Reality (VR), this research paper digs into the ever-evolving world of Human-computer Interaction (HCI) within the context of VR. We have found important insights with theoretical and practical applications via a careful research technique comprising mathematical modelling, data collecting, and empirical analysis. Through our investigation of new technologies, we have shown the revolutionary potential of haptic feedback systems in VR settings. Our results, backed by a solid mathematical model, provide light on the measurable effect of haptic feedback and suggest it has the potential to radically alter user experiences in fields as diverse as gaming, instruction, and treatment. At the same time, we have overcome a number of obstacles inherent to virtual reality human-computer interaction, including motion sickness. Our mathematical model of motion sickness and its treatment lays the groundwork for creating VR experiences that are both enjoyable and safe for a wider range of users. This study highlights the ethical implications of VR HCI, highlighting the importance of responsible development and deployment in addition to advances and problems. To make sure that the advantages of this gamechanging technology are used in a responsible manner, we discuss issues like privacy, informed consent, and the possibility for addiction in VR. Our results, as we reach the end of our trip, are both a celebration of potential and a guide for where VR HCI is headed. They motivate more research into inclusive and human-centered design, personalized motion sickness prevention, and cutting-edge haptic feedback technologies. To further lead the development of VR HCI, we advocate for continuous multidisciplinary cooperation and the adoption of thorough ethical rules and regulations.

关键词： Human computer interaction Ethics Technological innovation Solid modeling Virtual reality Motion sickness Solids

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Comprehensive study on routing schemes for congestion control in vehicular ad-hoc networks

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AIP Conference Proceedings 2024年第1期3028卷

作者： Kiran Kumar Jajala Reddaiah Buduri Research Scholar Department of Computer Science and Technology Yogi Vemana University Kadapa Andhra Pradesh India Associate Professor Department of Computer Science and Technology Yogi Vemana University Kadapa Andhra Pradesh India

Vehicular ad-hoc network is a subclass of MANET, and has become an important area in intelligent transportation networks, due to its various applications like safety, infotainment, and traffic management application. In these networks, nodes are represented as smart vehicles that can communicate between themselves to exchange traffic information. Due to high mobility that subsequently creates high dynamic network topology and it results in congestion with in the network. In such circumstances the most important task is selection of exact Routing protocol to provide Quality of service. This paper aims to study and compare various routing algorithms designed for VANETs.

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