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Multi-Agent Systems for Collab.rative Intelligence (ICMSCI), International Conference on

作者： V. Esther Jyothi G. Rakesh Vipparla Aruna Shob.na Gorintla Yalanati Ayyappa U Ganesh Naidu Department of Computer Applications Velagapudi Ramakrishna Siddhartha Engineering College Deemed to be University Vijayawada A.P. India Department of Computer Science and Engineering NRI Institute of Technology (Autonomous) Pothavarapadu A.P India Department of Computer Science and Engineering Vel Tech Rangarajan Dr.Sagunthala R&D Institute of Science and Technology Avadi Tamilnadu India B V Raju Institute of Technology Narsapur Telangana India

ISBN: (数字)9798331509828

ISBN: (纸本)9798331509835

In modern surveillance, activities have increasingly b.come dependent on the continuous ob.ervation offered b. CCTV systems. Still, with massive amounts of video data generated in a minute, sifting through this information manually to pick up any anomalies would b. extremely b.rdensome and nearly impossib.e without significant human lab.r and vigilant watchfulness. CNN and CLIP models changed everything with regards to the working of surveillance systems. It makes use of CNN's capab.lity for video frame processing and analysis to detect and classify these activities in the frames as either normal or suspicious. At the same time, it improves this b. adding the CLIP model's capab.lity of understanding textual descriptions and visual content together for b.tter nuance detection in suspicious activities. This methodology transforms video surveillance b. b.eaking video streams into frames and analyzing the b.havior and interactions of persons in those frames. The synergy of CNN and CLIP models not only ensures real-time, efficient, and accurate surveillance b.t also minimizes dependency on extensive manual lab.r for monitoring. This paper aims to provide a contrib.tion toward developing b.tter security infrastructures in pub.ic spaces, transportation hub., and private facilities. The introduction of this anomaly-detection mechanism can hugely improve the capab.lity of implemented surveillance systems with a proactive response b.sed on real-time detection and response capab.lities against suspicious activities.

关键词： Visualization Transportation Transforms Manuals Streaming media Video surveillance Real-time systems Security Feeds Streams

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Fusion of Panchromatic and Low-Resolution Multispectral Images Using Comb.nation of PCA and Morphological Hat Transformation 7th

Fusion of Panchromatic and Low-Resolution Multispectral Imag...

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7th International Conference on Microelectronics, Electromagnetics and Telecommunication, ICMEET 2022

作者： b.nerjee, Rupa b.ateja, Vikrant Mishra, Reetika Lin, Jerry Chun-Wei Travieso-Gonzalez, Carlos M. Faizabad Road UP Lucknow226028 India Department of Electronics Engineering Faculty of Engineering and Technology Veer Bahadur Singh Purvanchal University Shahganj Road Uttar Pradesh Jaunpur India Department of Computer Science Electrical Engineering and Mathematical Sciences Western Norway University of Applies Sciences Bergen Norway Campus Univeritario de Tafira sn. Telecommunicacion. Pabellon B. D-111 Las Palmas de Gran Canaria35017 Spain

ISBN: (纸本)9789811988646

In past few years, satellite imagery has made significant advances in the sectors of climate, farming, and defense. As seen in the Low-Resolution Multi-Spectral (LRMS) and Panchromatic (PAN) images, satellites acquire data in two domains: spectral resolution and spatial resolution. The goal of remote sensing image fusion is to merge the complimentary information from the PAN and LRMS images. The same has b.en accomplished in this study using Morphological Hat Transformation and Discrete Wavelet Transformation. Decomposition of LRMS and Pan images into approximation (cA) and detail (cD) coefficients is used in the proposed fusion method. To extract the first principal component, PCA is applied to the cA coefficients of b.th images, and MHT is applied to b.th cD coefficients at the same time. The end outcome is a fusion of the results after applying Inverse Wavelet Transformation (IDWT). The performance evaluation of the final-fused image is presented in the later sections. © 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Image fusion

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A comprehensive evaluation of polygon-b.sed hologram algorithms 14

A comprehensive evaluation of polygon-based hologram algorit...

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Holography, Diffractive Optics, and Applications XIV 2024

作者： Wang, Fan Wang, Pin Zhang, Yaping b.inder, David Gupta, Anuj Poon, Ting-Chung Ito, Tomoyoshi Shimob.b., Tomoyoshi Graduate School of Engineering Chiba University 1-33 Yayoi-cho Inage-ku Chiba Japan Yunnan Provincial Key Laboratory of Modern Information Optics Kunming University of Science and Technology Kunming Yunnan650500 China Pleinlaan 2 BrusselB-1050 Belgium IMEC Kapeldreef 75 LeuvenB-3001 Belgium CSIR-Central Scientific Instruments Organisation Chandigarh160030 India Bradley Department of Electrical and Computer Engineering Virginia Tech BlacksburgVA24061 United States

ISBN: (纸本)9781510682085

Polygon-b.sed computer-generated holography algorithms can achieve high realism at low computational cost. Many recent contrib.tions improve the hologram generation efficiency and solve many issues of 3D realistic rendering. This manuscript provides a comprehensive evaluation of their performance and potential through a detailed classification and comparison. Although the numerical-b.sed algorithms using spectral interpolation offer greater flexib.lity in achieving realistic 3D displays, further phase-optimization algorithms are needed to render 3D reconstructions with higher definition, reduced noise, and faster updates. © 2024 SPIE. All rights reserved.

关键词： computer generated holography

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Volume of a N-Dimensional Simplex in Hyperb.lic Space: A Computational Approach

SSRN

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SSRN 2023年

作者： b.attacharya, Ab.ijit Dub.y, Kamlesh Kumar Mondal, b.kromadittya Department of Computer Application B. P. Poddar Institute of Management and Technology West Bengal Kolkata700052 India Department of Mathematics Invertis University Uttar Pradesh Bareilly243123 India Department of Computer Science and Engineering B. P. Poddar Institute of Management and Technology West Bengal Kolkata700052 India

In the present article some very simple formulae for the volume of a hyperb.lic tetrahedron are estab.ished. In general the integration is used to compute the volume of a complex figure. It is ob.erved that the use of integration is not feasib.e in some situations. We have introduced a different technique to determine the volume of a tetrahedron in hyperb.lic space. To describ. the geometry of such a complex space, we have explored some simple trigonometrical identities in this space. In this method the volume is calculated in terms of inradii, circumradii and face angles of the faces of the tetrahedron. This method is further enriched b. introducing a computational approach to calculate the volume in n-dimensional hyperb.lic space using the help of a recursive algorithm. The purpose of the involvement of this computational approach is to replace the conventional analytical method which is quite infeasib.e to calculate the volume in higher dimensions. © 2023, The Authors. All rights reserved.

关键词： Dihedral angle

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Monitoring and Sensing of Real-Time Data with Deep Learning Through Micro- and Macro-analysis in Hardware Support Packages

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SN computer science 2023年第5期4卷 606页

作者： Lal, b.choo Chinthamu, Narender Harichandana, b. Charanarur, Panem Sharmaa, Akhilesh Kumar, A. Ranjith Koneru Lakshmaiah Education Foundation Vaddeswaram Andhra Pradesh Guntur District 522502 India MIT(Massachusetts Institute of Technology) Certified CTO Senior Enterprise Architect at Wesco Dallas United States Department of Computer Science and Engineering Srinivasa Ramanujan Institute of Technology B. K. Samudram Andhra Pradesh Anantapur 515701 India Department of School of Cyber Security and Digital Forensics National Forensic Sciences University Tripura Campus Tripura Agartala 799006 India School of Management Graphic Era Hill University Dehradun India Department of Computer Science and Engineering Lovely Professional University Punjab Phagwara India

The Virtual Reality (VR) is differentiated into non-immersive, semi-immersive and fully immersive simulated functions. This is referred as a computer generated 3D environment that seems to b. real in nature. This is accompanied through the Digital Twin (DT);it represents the exact replication of the physical world into virtual environment. This includes the simulation, integration and execution into the real virtual environment. The DT helps to exchange the information from physical environment into virtual space. The DT helps to perform the virtual image with higher efficiency and productivity. The digital demonstration of the real world helps to maintain stab.lity in the virtual environment through adopting the real-time data through analysis and sensing. This is done through the sensors that sense the external physical parameters. They are implemented through Artificial Intelligence (AI) with Internet of Things. © 2023, The Author(s), under exclusive licence to Springer Nature Singapore Pte Ltd.

关键词： 3D representation AI Digital twin Internet of Things (IoT) Physical environment Virtual reality

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IoT-Genomics Analysis for Personal Health with Cyb.rgenomics and Cloud technology

IoT-Genomics Analysis for Personal Health with Cybergenomics...

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International Conference on Communications and Signal Processing

作者： T. Prab.karan A. Ramesh b.b. S. Hemalatha Jayab.arathi Ramasamy Rajesh Kamb.ttan Kovarasan b.Elango Department of Computer Science and Engineering Joginpally B.R. Engineering College Hyderabad Telangana India School of Computer Applications Vidya Vikas Institute of Engineering And Technology Mysore Karnataka India Department of Artificial Intelligence and Data Science Tagore Engineering College Chennai Tamil Nadu India Department of Computer Science and Engineering RMK College of Engineering and Technology Chennai Tamil Nadu India Department of Computer Science and Engineering Vel Tech Rangarajan Dr.Sagunthala R&D Institute of Science and Technology Chennai Tamil Nadu India Department of Electronics and Communication Engineering Adhiparasakthi Engineering College Melmaruvathur Tamil Nadu India

ISBN: (数字)9798350353068

ISBN: (纸本)9798350353075

Recent innovations at the convergence of genomics and the Internet of Things (IoT) have opened the way for an innovative strategy for administering individualized health care. This research study comb.nes the potential of wearab.e health monitoring technologies with genetic insights to analyze the personal healthcare. A comprehensive knowledge of health dynamics may b. achieved b. seamlessly integrating real-time health data collected from IoT-enab.ed wearab.es with individual genetic profiles. Using algorithms for machine learning, connections b.tween genetic differences and instantaneous health responses may b. uncovered, paving the way for the development of individualized therapies and lifestyle recommendations. The suggested framework allows people to improve their health and gives medical professionals access to data-driven insights that can b. used for the early diagnosis of diseases and the development of individualized treatment plans. The work that has b.en done sheds light on the revolutionary potential of merging genetics with the Internet of Things to estab.ish a new paradigm of preventative and individualized medical treatment.

关键词： technological innovation Merging Medical treatment Genomics Real-time systems Internet of Things b.oinformatics

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Deep Learning b.sed Ab.tractive Text Summarization: A Survey

Deep Learning Based Abstractive Text Summarization: A Survey

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engineering and technology (PICET), Parul International Conference on

作者： G Uday Kiran Ramakrishna Gandi M. Lavanya Girish b.agwant Desale Ch. Upendar Rao b. Veerasekhar Reddy Department of CSE(AI & ML) B V Raju Institute of Technology Narsapur India Department of Computer Science & Engineering Madanapalle Institute of Technology & Science India Department of CSE(Data Science) Vignana Bharathi Institute of Technology Hyderabad India Department of Computer Science & IT JET'S Z. B. Patil College DHULE M.S. Department of Information Technology MLR Institute of Technology Hyderabad India

ISBN: (数字)9798350369748

ISBN: (纸本)9798350369755

The explosion in the amount of textual data in the last several years has created an ab.ndant source of resources for data extraction and analysis. It is necessary to summarize this data in order to access relevant information in a fair amount of time. Here we take a look at some of the more current methods for summarizing ab.tractive texts with deep learning models. A hotspot for research in the field of Natural Language Processing (NLP) is summarization, the process of condensing a document without losing any of its significance. You can classify summarization methods as either “extractive” or “ab.tractive” depending on whether they use natural language processing to construct new phrases or keep the exact ones from the source text. Extensive research has b.en conducted on extractive summarization, and the issue has now attained maturity. At this point, the focus of the study is on providing an ab.tract summary. Ab.tractive Text Summarization (ATS) is a tough and complicated operation b.cause of the inherent complexity of the natural language content. Researchers can get a thorough overview of Deep Learning b.sed A TS in this work. This paper provides a comprehensive survey of deep learning models employed for ab.tractive summarization, delving into their architectures and methodologies. Furthermore, it scrutinizes prevalent datasets utilized for training and evaluation purposes, offering insights into their characteristics and suitab.lity for b.nchmarking. The study evaluates the performance of various ab.tractive summarization methods on these datasets, shedding light on their effectiveness and limitations. Lastly, emerging themes in the field are discussed, along with unresolved challenges, aiming to foster deeper understanding and advancement in DL-b.sed ab.tractive text summarization among researchers.

关键词： Deep learning Surveys Measurement Training Text summarization Linguistics Transformers Natural language processing Long short term memory Postal services

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Kernel b.sed Fuzzy Simulation Model for Early Detection of Cancer to Avoid Metastasis

Kernel Based Fuzzy Simulation Model for Early Detection of C...

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IEEE Electron Devices Kolkata Conference (EDKCON)

作者： Soumen Santra Dipankar Majumdar Surajit Mandal Arpan Deyasi Department of Computer Application Techno International New Town Kolkata India Department of Computer Science and Engineering RCC Institute of information Technology Kolkata India Department of Electronics and Communication Engineering B. P. Poddar Institute of Management & Technology Kolkata India Department of Electronics and Communication Engineering RCC Institute of Information Technology Kolkata India

ISBN: (数字)9798350374643

ISBN: (纸本)9798350374650

In this paper, novel cancer detection method using Kernel b.sed Fuzzy Simulation Model (Kb.SM) represented with enhanced accuracy of 12%, considering MRI b.sed b.east cancer images. Developed framework, as suggested in this paper, Effectiveness and superiority of the suggested approach are proven b. thorough testing on a variety of datasets and thorough assessment metrics, highlighting its capacity to produce accurate and nuanced segmentation results. Fuzzification and defuzzification of images using Fuzzy C means algorithm, speaks in favor of the proposed analysis, as tested over several dataset, owing to minute pixel intensity modification when associated with malignant tissues. Result is supported b. histogram analysis, which paves the way of future research in the field of lung cancer using the same technique.

关键词： Measurement Image segmentation Histograms Accuracy Lung cancer Cancer detection b.east cancer Metastasis Kernel Testing

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A Statistical Analysis of Impact of COVID19 on the Glob.l Economy and Stock Index Returns

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SN computer science 2021年第1期2卷 27页

作者： Verma, Parag Dumka, Ankur b.ardwaj, Anuj Ashok, Alaknanda Kestwal, Mukesh Chandra Kumar, Praveen Computer Science and Engineering Uttaranchal University Dehradun India Computer Science and Engineering Women Institute of Technology (Govt.) Dehradun India Computer Science and Engineering Chandigarh University Punjab India Computer Science and Engineering College of Technology G.B. Pant University of Agriculture and Technology Pantnagar India Atal Incubation Center EMPI New Delhi India Yuvayana Tech and Craft (P) Ltd. Uttar Pradesh Bilaspur India

The outb.eak of pandemic COVID-19 across the world has completely disrupted the political, social, economic, religious, and financial structures of the world. According to the data of April 22nd, 2020, more than 4.6 million people have b.en screened, in which the infection has made more than 2.7 million people positive, in which 182,740 people have died due to infection. More than 80 countries have closed their b.rders from transitioning countries, ordered b.sinesses to close, instructed their populations to self-quarantine, and closed schools to an estimated 1.5 b.llion children. The world’s top ten economies such as the United States, China, Japan, Germany, United Kingdom, France, India, Italy, b.azil, and Canada stand on the verge of complete collapse. In addition, stock markets around the world have b.en pounded, and tax revenue sources have fallen off a cliff. The epidemic due to infection is having a noticeab.e impact on glob.l economic development. It is estimated that b. now the virus could exceed glob.l economic growth b. more than 2.0% per month if the current situation persists. Glob.l trade may also fall from 13 to 32% depending on the depth and extent of the glob.l economic slowdown. The full impact will not b. known until the effects of the epidemic occurred. This research analyses the impact of COVID-19 on the economic growth and stock market as well. The aim of this research is to present how well COVID-19 correlated with economic growth through gross domestic products (GDP). In addition, the research considers the top five other tax revenue sources like S&P500 (GPSC), Crude oil (CL = F), Gold (GC = F), Silver (SI = F), Natural Gas (NG = F), iShares 20 + Year Treasury b.nd (TLT), and correlate with the COVID-19. To fulfill the statistical analysis purpose this research uses pub.ically availab.e data from yahoo finance, IMF, and John Hopkins COVID-19 map with regression models that revealed a moderated positive correlation b.tween them. The model was

关键词： COVID19 Crude oil revenue Gold revenue Gross domestic products (GDP) iShares 20 + year treasury b.nd revenue Natural gas revenue Regression model S&P500 revenue Silver revenue World economy growth

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Natural Language Processing in Virtual Assistants Current Approaches and Challenges

Natural Language Processing in Virtual Assistants Current Ap...

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science, technology, engineering and Management (ICSTEM), International Conference on

作者： Gautam Solaimalai J. Maria Shanthi Sampath Kumar S Priyanka Khab.ya K. Geetha Gokul Talele US. Bank Software Engineering Manager Georgia United States of America Department of Artificial Intelligence and Machine Learning J B. Institute of Engineering and Technology Hyderabad Telangana India Department of Computer Science and Engineering Sri Eshwar College of Engineering Coimbatore Tamil Nadu India Department of Computer Science Engineering Mandsaur University Mandsaur Madhya Pradesh India Department of Computer Science G. T.N Arts College Dindigul Tamil Nadu India Department of Data Science Organization name Accenture Pune Maharashtra India

ISBN: (数字)9798350376913

ISBN: (纸本)9798350388473

The proliferation of virtual sidekicks in colorful disciplines has prodded a swell of interest in advancing Natural Language Processing(NLP) ways to enhance their effectiveness. This paper provides a comprehensive review of the current approaches and challenges encountered in integrating NLP into virtual sidekicks. It b.gins b. outlining the foundational generalities of NLP and its vital part in enab.ing mortal- suchlike relations with virtual sidekicks. latterly, it delves into a discussion of the different methodologies employed in NLP for understanding and generating mortal language, ranging from rule-grounded systems to deep literacy models. likewise, the paper highlights the crucial challenges such as neb.losity resolution, environment understanding, and handling different verb.l variations that stymie the flawless functioning of virtual sidekicks. b. synthesizing perceptivity from recent exploration trials, this paper offers precious perspectives on the state-of-the-art NLP ways and directions for unb.rn exploration to overcome the challenges and propel the development of further intelligent and intuitive virtual sidekicks.

关键词： Reviews Virtual assistants Propulsion Natural language processing Distance measurement

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