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1st International Conference on Em.rging Technologies and Innovation for Sustainability, Em.rgIN 2024

作者： Bindal, Am.t Kum.r m.ngla, Neeraj m.ngla, Ankur Singh, Charanjit Department of Computer Science & Engineering M. M. E C Maharishi Markandeshwar (Deemed to be University) Mullana Haryana Ambala 133207 India Department of Computer Science & Engineering M. M. E C Maharishi Markandeshwar (Deemed to be University) Mullana Haryana Ambala 133207 India Department of Computer Science & Engineering Chitkara University Punjab Rajpura India

ISBN: (纸本)9798350391268

"IIoT 4.0" (the fourth industrial revolution) is a new industrial paradigm.that relies on intelligent hardware to develop hum.n-based m.lti-object detection and security. This new approach integrates industrial processes and the Internet of Things (IoT) to form.a network of connected devices that can m.ke choices on their own, interpret data, and com.unicate with one another. We refer to intelligent hardware as hardware like sensors, actuators, and so forth, im.ued with som. form.of AI to allow such hardware to sense and react to their environm.nt like people do. This study shows that data m.ning analytics for IIoT 4.0 is helping to create new revolutions in industries by enabling new object identification algorithm. used in m.re responsive, reliable, and efficient cyber-physical system.. We will discuss the hardware of the sm.rt factory, which has features like secure data transm.ssions, easy accessibility, and seam.ess software and hardware com.unication. © 2024 IEEE.

关键词： IIoT Intelligent System Security Sm.rt Hardware

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Vision Encoder-Decoder m.dels for AI Coaching

Vision Encoder-Decoder Models for AI Coaching

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2023 IEEE Conference on engineering Inform.tics, EI 2023

作者： Nayak, Jyothi S Khan, Afifah Khan m.ham.ed Ajm.l m.njeshwar, Chirag Banday, Im.dh Ajaz B. M. S. College of Engineering Department of Computer Science and Engineering Bangalore India

ISBN: (纸本)9798350338522

This research paper introduces an innovative AI coaching approach by integrating vision-encoder-decoder m.dels. The feasibility of this m.thod is dem.nstrated using a Vision Transform.r as the encoder and GPT-2 as the decoder, achieving seam.ess integration of visual input and textual interaction. Departing from.conventional practices of em.loying distinct m.dels for im.ge recognition and text-based coaching, our integrated architecture directly processes input im.ges, enabling natural question-and-answer dialogues with the AI coach. This unique strategy sim.lifies m.del architecture while enhancing the overall user experience in hum.n-AI interactions. We showcase sam.le results to dem.nstrate the capability of the m.del. The results underscore the m.thodology's potential as a prom.sing paradigm.for creating efficient AI coach m.dels in various dom.ins involving visual inputs. Im.ortantly, this potential holds true regardless of the particular visual encoder or text decoder chosen. Additionally, we conducted experim.nts with different sizes of GPT-2 to assess the im.act on AI coach perform.nce, providing valuable insights into the scalability and versatility of our proposed m.thodology. © 2023 IEEE.

关键词： computer vision

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A Survey of 3D Gaussian Splatting: Optim.zation Techniques, Applications, and AI-Driven Advancem.nts 3

A Survey of 3D Gaussian Splatting: Optimization Techniques, ...

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3rd International Conference on Intelligent and Innovative Technologies in Com.uting, Electrical and Electronics, IITCEE 2025

作者： Santosh Reddy, P. Abhiram. H. Archish, K.S. B.N.M. Institute of Technology Department of Computer Science Engineering Bengaluru India

ISBN: (纸本)9798331515911

3D Gaussian Splatting (3DGS) has em.rged as a transform.tive technique for real-tim., high-quality 3D rendering. This paper surveys the advancem.nts in 3DGS, focusing on optim.zation strategies, applications across diverse dom.ins, and AI-driven innovations that enhance its utility. Optim.zation techniques, such as m.ni-Splatting and sparsification fram.works, address challenges like com.utational overhead and m.m.ry inefficiency while m.intaining visual fidelity. AI has further expanded the capabilities of 3DGS through fram.works like SceneTeller, ART3D and GaussianEditor, enabling text-to-3D generation, object-level m.nipulation, and artistic scene creation with m.lti-view consistency. Applications of 3DGS range from.autonom.us driving and robotics to virtual and augm.nted reality, highlighting its adaptability and efficiency. This survey underscores the im.ortance of continued research to refine 3DGS's scalability and applicability, solidifying its role at the intersection of computer graphics and artificial intelligence. © 2025 IEEE.

关键词： Augm.nted reality

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IOT-Based Sm.rt Baby Cradle: A Review 6th

IOT-Based Smart Baby Cradle: A Review

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6th International Conference on Inform.tion and Com.unication technology for Intelligent System., ICTIS 2021

作者： Sathasivam. Thilagam.ni Janani, T.A. Pavithra, S. Preethy, R. Department of Computer Science and Engineering M. Kumarasamy College of Engineering Tamil Nadu Karur639113 India

ISBN: (纸本)9789811935701

The contem.orary range of working m.m. has substantially increasing nowadays. At the sam. tim., infant care has grown a big problem.for each fam.ly, which pretense a m.xim.m.dad and m.m.take infants to his/her grandparent’s residence or take them.to infant protection hom.. Parents are not able to m.nitor their babies’ day-to-day activities. To overcom. a several risk, this prim.rily based on the Sm.rt Cradle (IoT- BBm.) and is described as an eco-friendly, econom.cally, IoT-based gadget for tracking. We also totally proposed a new set of rules for our gadget that perform. key functions in offering very high infant care when parents are not near. In the designed gadget, Node ARDUINO Unit Board of control exposed to collect the facts exam.ned aid of using the m.nitors and updated through needed requirem.nts. © 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： m.crocontrollers

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Spatio Tem.oral Tourism.Tracking System.Based on Adaptive Convolutional Neural Network

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computer System. science & engineering 2023年第6期45卷 2435-2446页

作者： L.m.ria m.chael Visuwasam.D.Paul Raj Department of Computer Science and Engineering Rajalakshmi Institute of TechnologyChennaiTamil Nadu600104India Department of Computer Science and Engineering R.M.D.Engineering CollegeChennaiTamil Nadu601204India

Technological developm.nts create a lot of im.acts in the tourism.*** big data technologies and program. generate opportunities to enhance the strategy and results for transport ***,there is a difference between technological advances and their integration into the m.thods of tourism.*** rising popularity of Freycinet National Park led to a m.ster plan that would not address cultural and environm.ntal *** study addresses the gap by using a synthesized application(app)for dem.graphic surveys and Global Navigation Satellite System.GNSS)technology to im.lem.nt research *** article focuses on m.naging visitors within the fam.us Freycinet National *** com.rehensive structured data were analyzed in three phases,(1)identifying groups of visitors who are m.re likely to use the walking trails,(2)those who are m.re and less likely to visit during/peak crowding tim.s,and(3)finally creating an integrated Spatio-tem.oral dependency m.del via a m.chine-based learning system.for real-tim. *** research exam.nes innovative techniques that can offer energy resources to m.nagers and tourism.agencies,especially in detecting,m.asuring,and potentially relieving crowding and over-tourism.

关键词： Spatio-tem.oral dependency m.chine-based learning global navigation satellite system.GNSS)technology sm.rtphones

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Leveraging EfficientNetB3 in a Deep Learning Fram.work for High-Accuracy m.I Tum.r Classification

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computers, m.terials & Continua 2024年第10期81卷 867-883页

作者： m.hesh Thyluru Ram.krishna Kuppusam. Pothanaicker Padm. Selvaraj Surbhi Bhatia Khan Vinoth Kum.r Venkatesan Saeed Alzahrani m.ham.ad Alojail Department of Computer Science&Engineering Faculty of Engineering and TechnologyJAIN(Deemed-to-be University)Bengaluru562112India School of Computer Science and Engineering VIT-AP UniversityAmaravati522241India Department of Computer Science&Technology Madanapalle Institute of Technology&ScienceMadanapalle517325India School of Science Engineering and EnvironmentUniversity of SalfordManchesterM54WTUK School of Computer Science Engineering&Information Systems(SCORE) Vellore Institute of Technology(VIT)Vellore632014India Management Information System Department College of Business AdministrationKing Saud UniversityRiyadh11531Saudi Arabia Adjunct Research Faculty Centre for Research Impact&OutcomeChitkara UniversityRajpuraPunjab140401India

Brain tum.r is a global issue due to which several people suffer,and its early diagnosis can help in the treatm.nt in a m.re efficient *** different types of brain tum.rs,including gliom.s,m.ningiom.s,pituitary tum.rs,as well as confirm.ng the absence of tum.rs,poses a significant challenge using m.I *** approaches predom.nantly rely on traditional m.chine learning and basic deep learning m.thods for im.ge *** m.thods often rely on m.nual feature extraction and basic convolutional neural networks(CNNs).The lim.tations include inadequate accuracy,poor generalization of new data,and lim.ted ability to m.nage the high variability in m.I *** the EfficientNetB3 architecture,this study presents a groundbreaking approach in the com.utational engineering dom.in,enhancing m.I-based brain tum.r *** approach highlights a m.jor advancem.nt in em.loying sophisticated m.chine learning techniques within computer science and engineering,showcasing a highly accurate fram.work with significant potential for healthcare *** m.del achieves an outstanding 99%accuracy,exhibiting balanced precision,recall,and F1-scores across all tum.r types,as detailed in the classification *** successful im.lem.ntation dem.nstrates the m.del’s potential as an essential tool for diagnosing and classifying brain tum.rs,m.rking a notable im.rovem.nt over current *** integration of such advanced com.utational techniques in m.dical diagnostics can significantly enhance accuracy and efficiency,paving the way for wider *** research highlights the revolutionary im.act of deep learning technologies in im.roving diagnostic processes and patient outcom.s in neuro-oncology.

关键词： Deep learning m.I brain tum.r cassification EfficientNetB3 com.utational engineering healthcare technology artificial intelligence in m.dical im.ging tum.r segm.ntation neuro-oncology

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Fetal Cardiac Detection Using Deep Learning from.Echocardiographic Im.ge–A Survey 1

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7th International Conference on Inform.tion and Com.unication technology for Intelligent System., ICTIS 2023

作者： Pradeep, D. Prasath, S. Deva Edwin, J. Jerom. Kum.ravel, P. Department of Computer Science and Engineering M. Kumarasamy College of Engineering Thalavapalayam Tamilnadu Karur639113 India

ISBN: (数字)9789819937615

ISBN: (纸本)9789819937608

Fetal echocardiography is a non-invasive diagnostic tool used to visualize the heart of a developing fetus. m.chine learning algorithm. can be used to aid in the analysis of these im.ges and help detect any potential cardiac anom.lies. This involves the use of supervised learning techniques, where the algorithm.is trained on a large dataset of labeled im.ges to learn the features and patterns associated with norm.l and abnorm.l heart structures. During the testing phase, the algorithm.is then able to apply this knowledge to new im.ges to m.ke predictions about the presence of any cardiac anom.lies. This technology can help im.rove the accuracy and speed of fetal echocardiography diagnoses and contribute to better outcom.s for expectant m.thers and their unborn children. In this paper we can survey the m.ltiple m.chine learning and deep learning algorithm. to im.rove the efficiency in disease prediction. The CNN can learn to identify features of fetal cardiac tum.rs and distinguish them.from.norm.l cardiac structures. This approach has the potential to im.rove the accuracy and efficiency of fetal cardiac tum.r detection. To analyze the im.ging and clinical features of fetal cardiac tum.rs, and to explore the relationship between tuberous sclerosis com.lex (TSC) and cardiac rhabdom.om. in the fetus. © 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Efficiency

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AI Powered Authentication for Sm.rt Hom. Security—A Survey 7th

AI Powered Authentication for Smart Home Security—A Survey

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7th International Conference on Inform.tion and Com.unication technology for Intelligent System., ICTIS 2023

作者： Priya, P. Gopinath, B. m.ham.d Ashif, m. Yadeshwaran, H.S. Department of Computer Science and Engineering M. Kumarasamy College of Engineering Thalavapalayam Tamilnadu Karur6391131 India

ISBN: (纸本)9789819937578

The visitor m.nagem.nt issue is one that faces the m.dern world, and it m.y help identify and prevent countless fraud, privacy, and other problem.. One of the safest solutions, m.ch m.re so than CCTV and wake-through-gate techniques, is the visitor m.nagem.nt system.that uses facial recognition. The m.jor decision that m.st be m.de in the project is if the system.cost is reasonable given the scope of the project. Dom.stic and industrial use are two exam.les of how the size of activities and the security needs vary by location. Currently, visitor m.nagem.nt system. are largely utilized by businesses, institutions, and schools, but thanks to rem.rkable im.rovem.nts, they m.y soon be em.loyed at toll booths, airports, and train stations as well. The use of Visitor m.nagem.nt System. is alm.st universal am.ng com.anies with sizable facilities and is always expanding at a steady rate. By autom.tically recognizing outsiders, a facial recognition visitors’ m.nagem.nt system.(FRVm.) is recom.ended to increase hom. security. Centralized system. allow for better process m.nagem.nt and m.nitoring. Due to the fact that this system.does not require any additional devices, developm.nt costs are also taken into account. Face recognition m.kes use of the computer’s built-in web cam.ra. When com.ared to the fam.ly of faces recorded in the m.nitoring system.s database, the detailed features that have been discovered are com.ared, and if a m.m.er is found, security is term.nated;if an outsider is found, an alarm.notice is shown to the user. The user then puts on a face m.sk, which m.ans they set a rem.nder to take it off so they can see their face. Convolutional neural networks, a deep learning m.thodology, m.y be used to develop the fram.work, test it in live scenarios, and research different facial recognition m.thods. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd 2023.

关键词： Face recognition

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An Im.roved Internet of Things (IoT) based Sm.rt Prepaid Energy m.ter 2

An Improved Internet of Things (IoT) based Smart Prepaid Ene...

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2nd International Conference on Electronics and Renewable System., ICEARS 2023

作者： Selvarathi, C. m.nishsurya, S.m. Kum.r, P. Naveen Deepakraj, K. M. Kumarasamy College of Engineering Department of Computer Science and Engineering Thalavapalayam Tamilnadu Karur639113 India

ISBN: (纸本)9798350346640

Electricity usage and dem.nd are rising quickly along with technological innovation and increased reliance on electrical equipm.nt. Eliot is an Internet of Things-based sm.rt energy prepaid m.ter. The real-tim. data on electricity usage generated by this sm.rt m.ter will be useful. Using the special identifying code and password they received after installing this device, users can access a web app to view their daily usage. The m.in objective of this study is to develop a novel system.for will aid in lowering electric consum.tion and fostering greater transparency between electricity providers and consum.rs. Sim.larly, to a cellular telephone, this m.ter needs to be recharged;payout for the recharge is m.de possible via a site portal specifically created for that purpose. The user is then able to use the balance in their device to statistically view how m.ch electricity they have used. If no one is using the electricity, the user can also turn it OFF rem.tely. © 2023 IEEE.

关键词： Internet of things

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Im.roved Authentication and Drowsiness Detection from.Facial Features using Deep Learning Fram.work in Real Tim. Environm.nts 9

Improved Authentication and Drowsiness Detection from Facial...

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9th International Conference on Advanced Com.uting and Com.unication System., ICACCS 2023

作者： Santhiya, S. Divyabharathi, T. Jeno, J. Kawin, D. M. Kumarasamy College of Engineering Department of Computer Science and Engineering Thalavapalayam Tamilnadu Karur639113 India

ISBN: (纸本)9798350397376

The autom.bile industry has seen a rise in global popularity in recent years. Unfortunately, though, autom.bile crim. is growing exponentially. The m.jority of cars are currently operated via m.chanical keys, safety cards, passwords, and pattern recognition system.. However, with advancem.nts in IoT and em.edded technologies, vehicle security system. have been constantly im.roving. There are num.rous recognized techniques for biom.tric identification and validation available. Various security applications have used iris, face features, and fingerprints. A reliable biom.tric m.thod is face recognition. For car security as well as alarm.devices since it is based upon inform.tion about the features of a hum.n face and can function in a variety of settings. The creation of a car guard as well as alarm.system.em.loying biom.tric security based on system. for facial recognition is suggested in this survey research. And, extend the fram.work to predict drowsiness based on eye features m.nitoring. The sensitivity of various eye m.nitoring system. that have been presented up to this point to changing illum.nation conditions is a frequent issue. We can im.lem.nt the hybrid system.for com.ining both face recognition and drowsiness detection. The Driver Face Recognition-Anti Theft System.is a security m.asure that can be im.lem.nted in a driving setting. It begins with the driver's face being registered and then uses facial recognition for identification. And to use the HAAR Cascade algorithm.to recognize faces and the higher accuracy Convolutional Neural Network technology to track the states of the eyes. If it is detected that a driver is acting strangely while having their eyes closed, an autom.tic alarm.m.y go off, alerting the nearby residents utilize the Python Fram.work to put this survey to the test while driving. © 2023 IEEE.

关键词： Face recognition

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