iosr-JCE  International Conference on Advanced Information Technology and Applications 2K23

Abstract: Artificial intelligence, also sometimes referred to as machine intelligence or heuristic programming, is an emerging technology that has recently attracted considerable publicity. Many applications are now under development. One simple view of the field is that it is concerned with devising computer programs to make computers smarter. Thus, research in artificial intelligence is focused on developing computational approaches to intelligent behavior. That effort has 2 goals: making machines more useful and understanding intelligence. Expert systems ES are one of the prominent research domains of AI. It is introduced by the researchers at Stanford University, Computer Science Department.

Keywords - Expert System, Defense Advance Research Project Agency, Conventional Computer Program, Artificial Intelligence Research , Artificial Intelligence Application . These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Abstract: As a result of the potential for numerous calamities, rainfall prediction is crucial. In addition to assisting people in taking preventative action, the prediction should be accurate. Long-term rainfall prediction and short-term rainfall prediction are the two sorts of forecasts. Predictions, especially those made in the short future, can provide us with precise results. Creating a model for predicting long-term rainfall is the key challenge. Because it is so intimately related to the economy and the lifespan of humans, heavy precipitation forecasting could be a significant setback for the earth science department. Every year, people all around the world experience natural disasters like floods and droughts because of this. For nations like India, whose economy is primarily based on agriculture, the accuracy of the rainfall statement has considerable importance. The goal of this work is to provide a review of various methods for predicting rainfall early on. The review of rainfall forecasting using various methodologies is covered in the study, along with an analysis of their advantages.

Keywords: Rainfall, Prediction, Long-term, Short-term, Methods

[1]. Zhang S., Lu L., Yu J., and Zhou H. (2016). ―Short-term water level prediction using different artificial intelligent models,‖ in 5th International Conference on AgroGeoinformatics, Agro-Geoinformatics.
[2]. Zainudin S., Jasim D. S., and Bakar A. A.(2016). ―Comparative Analysis of Data Mining Techniques for Malaysian Rainfall Prediction,‖ Int. J. Adv. Sci. Eng. Inf. Technol., vol. 6, no. 6, (pp. 1148–1153).
[3]. Nayak D., Mahapatra A., and Mishra P.(2013). ―A Survey on Rainfall Prediction using Artificial Neural Network,‖ Int. J. Comput. …, vol. 72, no. 16, ( pp. 32–40).
[4]. Rani B. K., and Govardhan A.(2013). ―RAINFALL PREDICTION USING DATA MINING TECHNIQUES - A SURVEY,‖ (pp. 23–30).
[5]. Tyagi N., and Kumar A.(2017). "Comparative analysis of backpropagation and RBF neural network on monthly rainfall prediction," Proc. Int. Conf. Inven. Comput. Technol. ICICT 2016, vol. 1.

Abstract: Emotional intelligence (EI) is the ability to recognize, understand, and manage one's own emotions, as well as to recognize and understand the emotions of others. It is an important skill that can help individuals build and maintain relationships, make sound decisions, and cope with stress. College students are at a unique stage of life where they are transitioning from adolescence to adulthood. This can be a challenging time emotionally, as they navigate new responsibilities and relationships. Therefore, emotional intelligence can be particularly valuable for college students in helping them manage their emotions and relationships.

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Abstract: Internet of Things (IOT) technology has become one of the leading subjects of scientific research field because of its potential application. This paper briefly introduced the introduction of IOT technology and agriculture IOT technology. Agriculture development in China is transiting from traditional to modernization, and equipment with modern material conditions is urgently needed. In the first section, it describes the concept of IOT and agriculture of things, as well as some of the key technologies of agriculture networking applications, namely (a) agricultural sensor technology......

Keywords: Internet of Things Intelligent agriculture Intelligent monitoring Intelligent control Microirrigation technology

[1]. Cai B, Ma Y, Rong Q, Dayton W, Zhao Y, Ma B, Yuan C (2013) Intelligent application-oriented research in agriculture things. J Mod Agric Sci Technol 14:337–339Google Scholar
[2]. Guan J (2010) IOT technology in intelligent agriculture. J Commun Manage Technol 03:24–42Google Scholar
[3]. Peng Z (2014) Application of IOT technology in intelligent agriculture. J Changchun Norm Univ 02:59–60Google Scholar

Abstract: Phishing is the damaging hacker attack, in which accepted customers credentials are obtained via way of means of an unauthorised internet site. Detecting the phishing internet site is extra tough and complicated and it additionally includes many elements and standards. This paper proposes a gadget as a way to come across the vintage in addition to new phishing web sites URLs. A cloud primarily based totally type version can be created for the equal motive in which numerous extracted attributes via the URL can be an enter statistics. The standard concept can be carried out with an shattered dataset which will provide most accurateness the use of ripper statistics mining strategies for type. Here, we outline three exceptional phishing sorts and six exceptional standards for detecting phishing web sites with a layer structure. After classifying the Phishing e mail, the gadget retrieves the place, IP deal with and call records of the host server.

[1]. WholeSecurity Web Caller-ID, www.wholesecurity.com
[2]. Anti-Phishing Working Group. Phishing Activity Trends Report, http://antiphishing.org/reports/apwg_report_sep2007_final. pdf. September 2007
[3]. B. Adida, S. Hohenberger and R. Rivest, ―Lightweight Encryption for Email,‖ USENIX Steps to Reducing Unwanted Traffic at the Internet Workshop (SRUTI), 2005.
[4]. S. M. Bridges and R. B. Vaughn, ―fuzzy statistics mining and genetic algorithms implemented to intrusion detection,‖ Department of Computer Science Mississippi State University, White Paper, 2001.
[5]. R. Dhamija and J.D. Tygar, ―The Battle in opposition to Phishing: Dynamic Security Skins,‖ Proc. Symp. Usable Privacy and Security, 2005.
[6]. FDIC., ―Putting an End to Account-Hijacking Identity Theft,‖

Abstract: The fashion industry is experiencing a technological transformation with the advent of the Internet of Things (IoT). IoT has the potential to revolutionize the entire supply chain of the fashion industry by enhancing transparency, reducing waste, and improving sustainability. This research paper provides a review of the various IoT applications in the fashion industry. The paper covers the use of IoT in areas such as product design, supply chain management, inventory management, customer experience, and sustainability. The study highlights the benefits and challenges of implementing IoT in the fashion industry, including security and privacy concerns. The research paper concludes by discussing the future of IoT in the fashion industry ,RFID and the potential impact it could have on the industry.

Keywords: Fashion, supply chain, RFID standards, sustainability.

[1]. InternetThings. https://en.m.wikipedia.org/wiki/Internet_of_things#:~:text=From%20Wikipedia%2C%20the%20free%20encyclopedia,and%20systems%20over%20the%20Internet. [2]. Fernández-Caramés, T.M. and Fraga-Lamas, P. (2018). Towards the Internet of Smart Clothing: A Review on IoT Wearables and Garments for Creating Intelligent Connected E-Textiles. Electronics (MDPI). 7, 405. DOI: 10.3390/electronics7120405 [3]. Stjepanovic, Z. (2001). Optimisation of Cotton Fibre Blends using AI Machine Learning Techniques. In Book: Advances in scientific computing, computational intelligence and applications, 187-192, WSES Press. [4]. Doke, S.S. and Shanmugam, N. (2002). Artificial Intelligence and its application in textiles. Asian Textile Journal, pp. 49-54. [5]. Industrial Automation. Benefits of IoT and automation in the textile industry (article). https://www.industrialautomationindia.in/articleitm/2328/Benefits-of-IoT-and-automation-in-the-textile-industry/articles

Abstract: AI search engines are a type of search engine that uses artificial intelligence techniques such as machine learning, natural language processing, and predictive analytics to provide more accurate and relevant search results. These search engines are designed to understand the user's intent behind a search query and provide results that match that intent, even if the query is phrased in natural language rather than using specific keywords. One of the primary advantages of AI search engines is their ability to provide more personalized results. By analyzing user behavior and feedback, they can learn about the user's preferences and provide search results that are tailored to their interests........

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Abstract: The backbone of civilization is agriculture. The main difficulty in agriculture is keeping plants from contracting diseases from their natural enemies and pest insects. One way to determine if a plant has a specific illness is with the use of CNN (Convolution Neural Network), also known as the Shift Invariant (SI) algorithm. The SI technique is a type of artificial neural network that is used in image recognition and is specifically designed to process picture pixels as input. The creation of automatic screening technologies is based on this kind of application. These tools could lead to more secure food production and sustainable agriculture techniques. The goal of these studies is to automatically identify crop illnesses so that we can protect the plants.

[1]. Diseased plant leaves using Neural Network Algorithms K. Muthukannan1, P. Latha2, R. Pon Selvi1 and P. Nisha1 1Department of ECE, Einstein College of Engineering, Anna University, Tirunelveli, India 2Department of CSE, Government College of Engineering, Anna University, Tirunelveli, India ARPN Journal of Engineering and Applied Sciences, VOL. 10, NO. 4, MARCH 2015, ISSN 1819-6608
[2]. Ranjan, Malvika, and others ‖Detection and classification of leaf disease using artificial neural network.‖ International Journal of TechnicalResearch and Applications 3.3 (2015): 331-333.
[3]. Ishak, Syafiqah,and others. ‖Leaf disease classification using artificial neural network.‖ JurnalTeknologi 77.17 (2015).
[4]. Sladojevic, Srdjan,and others. ‖Deep neural networks based recognition of plant diseases by leaf image classification.‖ Computational intelligence and neuroscience 2016 (2016).
[5]. Cortes, Emanuel. ‖Plant disease classification using convolutional networks and generative adversarial networks.‖ (2017).

Abstract: This review converses the applications of Artificial intelligence (AI), Deep learning (DL) algorithms, in single-photon emission computed tomography (SPECT) and positron emission tomography (PET) imaging.This study appliedArtificial intelligence (AI) to various medical imaging tasks, such as computer-aided diagnosis. This review of AI advancements features driven picture segmentation and interpretation, and research on more current deep learning (DL) improvements has increased. AI technology has been to solve logical and relational challenges. The medical career was madeforecast bycritics and AI scientists as early as 1976........

Keywords: Artificial Intelligence, Deep Learning, SPECT,PET

[1]. Adir, O., Poley, M., Chen, G., Froim, S., Krinsky, N., Shklover, J., ... & Schroeder, A. (2020). Integrating artificial intelligence and nanotechnology for precision cancer medicine. Advanced Materials, 32(13), 1901989.
[2]. Arabi, H., & Zaidi, H. (2020). Applications of artificial intelligence and deep learning in molecular imaging and radiotherapy. European Journal of Hybrid Imaging, 4(1), 1-23.
[3]. Chen, L., Bentley, P., Mori, K., Misawa, K., Fujiwara, M., &Rueckert, D. (2019). Self-supervised learning for medical image analysis using image context restoration. Medical image analysis, 58, 101539.
[4]. Cheng, Z., Wen, J., Huang, G., & Yan, J. (2021). Applications of artificial intelligence in nuclear medicine image generation. Quantitative Imaging in Medicine and Surgery, 11(6), 2792. 5. Currie, G. M. (2019). Intelligent imaging: artificial intelligence augmented nuclear medicine. Journal of 10671 Journal of Positive School Psychology nuclear medicine technology, 47(3), 217- 222.
[5]. Dilsizian, S. E., & Siegel, E. L. (2014). Artificial intelligence in medicine and cardiac imaging: harnessing big data and advanced computing to provide personalized medical diagnosis and treatment. Current cardiology reports, 16(1), 1-8.

Abstract: Cloud Computing is one of the new standard Information Technology (IT), It allows the users to access the hardware, software and data from the cloud server. The Cloud computing provides many services to the users. Now the upcoming days, access control and security are the most two critical problems in cloud computing. Access Control defined as a procedure by users that can access the data from cloud server. When the time of accessing data, many problems may occur. Such as data security, data loss, accessing time, data redundancy and overhead, etc. The several accesses can control the models that already developed based on the attribute-based encryption. In this paper, all the issues in cloud computing discussed. Finally, the future work directs the identification and problems in cloud computing.

Keywords – Cloud Service Provider, Data Owner, Encryption, Access Control.

[4] Verma, R. K., Dutta, S., Chaulya, S. K., Singh, A. K., & Prasad, G. M. (2013). Cloud Computing: A New Era in IT industry. International Journal of Computer Technology and Electronics Engineering, 3(2), 18-28. [5] Srinivasan, A., Quadir, M. A., & Vijayakumar, V. (2015). Era of cloud computing: A new insight to hybrid cloud. Procedia Computer Science, 50, 42-51. [6] Kaur, G., Kaur, R., & Rani, S. (2015). Cloud computing-a new trend in it era. International Journal of Science, Technology and Management, 1-6. [7] Bento, A. L., & Bento, R. E. G. I. N. A. (2011). Cloud computing: A new phase in information technology management. Journal of Information Technology Management, 22(1), 39-46. [8] Riahi, G. (2015). E-learning systems based on cloud computing: A review. Procedia Computer Science, 62, 352-359. [9] Zhou, M., Zhang, R., Xie, W., Qian, W., & Zhou, A. (2010, November). Security and privacy in cloud computing: A survey. In 2010 Sixth International Conference on Semantics, Knowledge and Grids (pp. 105-112). IEEE.

Abstract: The main motive of this research is to study about the traditional customers trends on e – commerce services by which the customers can prefer the traditional or online services for their trends. E – Commerce (Electronic commerce) is the trading of goods and services on the internet.Shopping is the most talked about time period when it comes to contemporary residents. The boom of the retail area in India is the quickest in world terms. When it comes to standard traditional vs on line shopping, a vast distinction can be determined in the conduct of the buyers belonging to the present- digital era.......

[1]. K. Sreelatha Reddy and S. Jayalakshmi ; A comparative study of traditional shopping Vs online shopping . Dec 2014.
[2]. Ieva Andersone Elina Gaile – Sarkane – Consumer purchasing behaviour between online and traditional shopping ISSN 1882-6515
[3]. Katawetawaraks, C ., and Wang C.H ; Online shopper behaviour ; Infiuences of online shopping decisions (2011)
[4]. Kumar, V., and Dange, U,- A study of factors affecting online buying behaviour (2012)
[5]. Innovative Zone Magazine in India (2022)

Abstract: Due to the dramatic increase in the number of individuals utilising the internet, the trend of online shopping in India has also increased sharply. Educated individuals, particularly those who work in the private sector and are time-constrained, prefer to purchase online for a variety of reasons. According to a research conducted by BCG, of India's 1,220 million inhabitants in 2013, 169 million were active internet users. The research shows that by 2018, the number of internet users would skyrocket and reach 583 million....

[1]. Banerjee, N., Dutta, A., & Dasgupta, T. (2010). "A Study on Customers' Attitude Towards Online Shopping - An Indian Perspective", Indian Journal of Marketing, 40 (11), 43- 52.
[2]. Baraglia, Ranieri and Fabrizio Silvestri (2007), "Dynamic Personalization of Web Sites Without User Intervention," Communications of the ACM, 50, 2, 63–7.
[3]. Choudrie, Jyoti & Dwivedi, Yogesh Kumar (2005). Investigating the research approaches for examining technology adoption issues. Journal of Research Practice 1 (1): Article - D1.
[4]. Comegys, C., Hannula, M., and Vaisanen, J. Effects of consumer trust and risk on online purchase decision- making: a comparison of Finnish and United States students. International Journal of Management, 26, 2, 2009, 295–308.
[5]. Darke, P. R., & Chung, C. M. Y. (2005). Effects of pricing and promotion on consumer perceptions: it depends on how you frame it. Journal of Retailing, 81, 35–47.

Abstract: This comparison helps to understand the outline of Digital and traditional Handwritten signatures. Handwritten signature implies the prearranged name or lawful characteristic of an individual manually written by that individual and executed or took on with the current goal to verify a writing in a super durable structure. Whereas the digital signature depends in the insurance managed the cost of private signature key by the signee and the techniques executed by a Certificate authority. Forgery of the handwritten signatures has been polished for quite a long time, though falsification of digital signatures, without compromise of the private signature key, or seizing of the signature instrument, is basically inconceivable. Finally, the paper will suggest that although digital signatures will likely revolutionize electronic commerce, handwritten signatures will almost certainly continue to be used for some purposes into the foreseeable future.

[1]. https://www.hindawi.com/journals/sp/2022/8170424/
[2]. https://www.researchgate.net/publication/220919900_Graphical_and_Digital_signature_Combination_for_fulfilling_the_cultural_gap_between_traditional_signature_and_current_smart_card_digital_certificatesignature/links/5472da8d0cf24bc8ea19a344/Graphical-and-Digital-signature-Combination-for-fulfilling-the-cultural-gap-between-traditional-signature-and-current-smart-card-digital-certificate-signature.pdf
[3]. https://groups.csail.mit.edu/mac/classes/6.805/student-papers/fall97-papers/fillingham-sig.html#:~:text=Differences%20between%20digital%20and%20handwritten%20signatures%20include%3A&text=A%20handwritten%20signature%20is%20biologically,implemented%20by%20a%20Certification%20Authority

Abstract: The subsequent boom revolution in the e-commerce area in India is pushed by using rising and fast-growing applied sciences like Artificial Intelligence (AI), Data Analytics, and on line charge gateways like Unified Payments Interface (UPI). This is reshaping the way we buy our everyday use items. Now, United States of America developing focus amongst the commercial enterprise neighbourhood in India about the possibilities presented by using e-commerce. The foremost thing of e-commerce is adopting in India and the end result of the learn about suggests that the primary issues going through e-commerce in India........

Keywords: E-commerce,Increasingwebclients,Onlineretail, Future of Commerce, Pandemiccommerce, Growth, Revolution, Future trends, stats, evolution

[1]. https://timesofindia.indiatimes.com/blogs/voices/revolutionising-the-future-of-ecommerce-industry-through-technology/
[2]. https://wedevs.com/blog/266954/future-ecommerce-trends/
[3]. https://www.outlookindia.com/business-spotlight/e-commerce-in-india-industry-overview-entrepreneurs-government-action-future-growth-news-234435 [4]. https://www.ibef.org/industry/ecommerce-presentation#:~:text=Indian%20e%2Dcommerce%20is%20projected,12.28%20million%20orders%20worth%20Rs. [5]. https://www.bigcommerce.com/articles/ecommerce/#growth-of-ecommerce.

Abstract: In the new normal created by the COVID-19 pandemic many businesses have made arrangements for a remote work culture. Due to this pandemic, there is greater shift from traditional work environment to the virtual environment. The reason for this research is to understand the impact of virtual workplace on employee productivity. The shift raises the need for developing a new employee commitment strategy which can help even in post-pandemic era.. Trends were analyzed and strategy is deployed which helps in understanding the engagement and working on performance measurement.

Keywords: Virtual Workplace (VW), Employee productivity, Employee Engagement, Performance Level, Work from home (WFH), Work from office (WFO)

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Abstract: Internet technology hasrapidlychanged the way of banking. There is a big requirement to spreadawareness about the technologies for successful implementation of new techniques in banking. Currently, although all banks are offeringelectronic banking services but there is a need to study about awareness and adoption level of customers regarding e-banking. Thisstudy is conducted to know the awareness and adoption level of bank customers of Chennai city. The information is collected from251 bank customers of Chennai city through online questionnaire. Analysis of data is done through MS EXCEL, by using descriptive analysis, multiple response analysis and cross tabulation.

[1]. Amutha Das. (2016). A Study of Consumer Awareness towards e-Banking. International Journal of Economics & Management Sciences, 5(4), 1–4. https://doi.org/10.4172/2162-6359.1000350
[2]. Harikanth, S. (2020). Customer Perception of E-Banking Services Provided By State Bank of India in Kanniyakumari District. Studies in Indian Place Names (UGC Care Journal), 40(18), 589–596.
[3]. K.Suma vally, K. H. D. (2018). A study on the future of digital payments in India. International Journal of Research and Analytical Reviews, 119(5), 1259–1267. http://www.acadpubl.eu/hub/
[4]. Koti, K. (2016). Customer awareness & adaptability towards internet banking : A study of Indian banking industry. International Journal of Humanities and Social Science Research, 2(8), 63–67.
[5]. Santhanakrishnan, S. D., Officer, L., & Nagar, A. (2020). CUSTOMERS PERCEPTION ON E-BANKING SERVICE.

Abstract: The study focused effectiveness of online shopping through M-commerce. The present study is mainly descriptive research focusing on the effectiveness of respondents towards online shopping through M-Commerce, research design is the plan, structure, and strategy of investigation with an objective of obtaining answers or solution for the research question. It shows that despite the many limitations mobile devices have, it is worthwhile considering developing them. Mobile commerce may become the key driving force for developing mobile applications, just as electronic commerce catalysed the development of Web applications.

Key words: Access convenience, online shopping, m-commerce, effectiveness,

[1]. Mr. Purushottam A 2018 A Study on Online Shopping behaviour through M applications in Kolhapur City, International Journal for Research in Engineering Application & Management ISSN: 2454-9150 Special Issue - NCCT – 2018
[2]. Ms. Siddhi Agrawal 2018"Online Shopping through Desktop & Mobile Application: A Comparative Study" International Journal of Maktabah Jafariyah ISSN: 2581-4354
[3]. Ibrahim Almarashdeh 2019 The Difference Between Shopping Online Using Mobile Apps and Website Shopping: A Case Study of Service Convenience, International Journal of Computer Information Systems, and Industrial Management Applications. ISSN 2150-7988 Volume 11 pp. 151-160 [4]. M. Gokulanathan 2020, a study on effectiveness of online shopping with special reference to Chennai city, psychology and education (2021) 58(1): 5043-5048, issn: 00333077, www.psychologyandeducation.net