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Machine Learning and Autonomous Systems (ICMLAS), International Conference on

作者： Harshada Gole Subodh Daronde Deparment of Computer Science and Medical Engineering Faculty of Engineering and Technology Datta Meghe Institute of Higher Education and Research Wardha Maharashtra India Department of Biomedical Enginering Faculty of Engineering and Technology Datta Meghe Institute of Higher Education and Research Wardha Maharashtra India

ISBN: (数字)9798331505745

ISBN: (纸本)9798331505752

With the advent of bioinformatics, cancer research has entered a new age wherein vast amounts of complex biological data can be interpreted to create powerful treatments. This approach has exceptionally improved the identification of biomarkers, deciphering hidden patterns contained within data, and developing personalized treatment modalities by incorporating bioinformatics-based strategies with artificial intelligence and machine learning. Advances in bioinformatics will soon give insight into the cancer process at cellular levels and offer a better understanding of tumor heterogeneity and evolution. Increased reliance on bioinformatics has directly affected the development of newer immunotherapy forms. In the last year, there have been 13 new FDA-approved immunotherapy treatments for 10 different drugs and 11 types of cancers specific to each one. The future of bioinformatics in cancer research is bright, and the field is likely to be further revolutionized with the continued progress in artificial intelligence, machine learning, and single-cell analysis techniques

关键词： Protocols Precision medicine Immunotherapy Machine learning Proteomics Biomarkers Bioinformatics Prognostics and health management Cancer Tumors

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Advanced Tracking Algorithm for Multiple Dynamic Vehicles using Attention Mechanisms and Kinematic Models

Advanced Tracking Algorithm for Multiple Dynamic Vehicles us...

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Integrated Circuits and Communication Systems (ICICACS), IEEE International Conference on

作者： Kishore Ravikumar Kamal Sutaria Ganesh Pandit Pathak Shailesh Rastogi Department of Mechanical Engineering Chennai Institute of Technology Kundrathur India Deparment of Computer Science and Engineering Faculty of Engineering and Technology Parul University Vadodara India Balaji Institute of Modern Management Pune India Symbiosis Institute of Business Management Nagpur Symbiosis International (Deemed University) Pune India

ISBN: (数字)9798331508456

ISBN: (纸本)9798331508463

Efficient vehicle tracking in urban environments is crucial for intelligent transportation systems but faces challenges such as nonlinear motion, dynamic backgrounds, and frequent occlusions. To address these complexities, we propose the AM-Vehicle-Track system, designed under the tracking-by-detection paradigm. This system integrates the Lightweight Convolutional Block Attention Module (LCBAM), which enhances detection accuracy by refining feature maps through channel-wise and spatial attention, and the Noise-Adaptive Extended Kalman Filter (NSA-EKF), which dynamically adjusts observation noise based on detection confidence to handle nonlinear vehicle motion. Additionally, the Byte data association technique is employed to mitigate issues with low-confidence detections and reduce identity switches. Tested on the challenging VisDrone-MOT dataset, AM-Vehicle-Track achieves a mean object tracking accuracy (MOTA) of 42.2%, an identity F1 score (IDF1) of 51.2%, and processes at 72 frames per second (FPS), outperforming existing state-of-the-art systems. These results highlight its robustness and efficiency in real-time scenarios, making it suitable for intelligent transportation applications. By significantly improving detection accuracy, tracking precision, and scalability, AM-Vehicle-Track establishes a new benchmark in multi-object tracking technologies and demonstrates its potential to enhance the reliability and efficiency of vehicle tracking in complex urban environments.

关键词： Accuracy Attention mechanisms Tracking Heuristic algorithms Urban areas Refining Real-time systems Kalman filters Vehicle dynamics Integrated circuit modeling

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Global stability analysis of computer networks with arbitrary topology and time-varying delays

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Journal of Zhejiang University-science C(computers and Electronics) 2010年第3期11卷 214-226页

作者： Behrooz REZAIE Mohammad-Reza JAHED MOTLAGH Siavash KHORSANDI Morteza ANALOUI Deparment of Electrical Engineering Iran University of Science and Technology Department of Computer Engineering and Information Technology Amirkabir University of Technology Deparment of Computer Engineering Iran University of Science and Technology

In this paper,we determine the delay-dependent conditions of global asymptotic stability for a class of multi-dimensional nonlinear time-delay systems with application to computer communication networks. A nonlinear delayed model is considered for a rate-based congestion control system of a heterogeneous network with arbitrary topology and time-varying delays. We propose a Lyapunov-based method to obtain a sufficient condition under which global asymptotic stability of the equilibrium is guaranteed. The main contribution of the paper lies in considering time variations of delays in a heterogeneous network which may be applicable in actual networks. Moreover,we obtain conditions for Internet-style networks with multi-source multi-link topology. We first prove the stability for a class of nonlinear time-delay systems. Then,we apply the results to a Kelly's rate-based ap-proximation of the congestion control system.

关键词： Intemet congestion control Global stability Nonlinear time-delay system Time-varying delay

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Mathematical analysis of the gradients in deep learning

arXiv

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arXiv 2025年

作者： Dereich, Steffen Do, Thang Jentzen, Arnulf Weber, Frederic Institute for Mathematical Stochastics Faculty of Mathematics and Computer Science University of Münster Germany School of Data Science The Chinese University of Hong Kong Shenzhen [CUHK-Shenzhen China Deparment of Probability and Statistic Institute of Mathematics Vietnam Academy of Science and Technology Viet Nam School of Data Science Shenzhen Research Institute of Big Data The Chinese University of Hong Kong Shenzhen [CUHK-Shenzhen China Applied Mathematics: Institute for Analysis and Numerics Faculty of Mathematics and Computer Science University of Münster Germany

Deep learning algorithms – typically consisting of a class of deep artificial neural networks (ANNs) trained by a stochastic gradient descent (SGD) optimization method – are nowadays an integral part in many areas of science, industry, and also our day to day life. Roughly speaking, in their most basic form, ANNs can be regarded as functions that consist of a series of compositions of affine-linear functions with multidimensional versions of so-called activation functions. One of the most popular of such activation functions is the rectified linear unit (ReLU) function R ∋ x 7→ max{x, 0} ∈ R. The ReLU function is, however, not differentiable and, typically, this lack of regularity transfers to the cost function of the supervised learning problem under consideration. Regardless of this lack of differentiability issue, deep learning practioners apply SGD methods based on suitably generalized gradients in standard deep learning libraries like TensorFlow or Pytorch. In this work we reveal an accurate and concise mathematical description of such generalized gradients in the training of deep fully-connected feedforward ANNs and we also study the resulting generalized gradient function analytically. Specifically, we provide an appropriate approximation procedure that uniquely describes the generalized gradient function, we prove that the generalized gradients are limiting Fréchet subgradients of the cost functional, and we conclude that the generalized gradients must coincide with the standard gradient of the cost functional on every open sets on which the cost functional is continuously *** Codes 68T07 Copyright © 2025, The Authors. All rights reserved.

关键词： Cost functions

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Analysis of Extreme Rainfall Trends Over 75 Locations (District Wise) of Uttar Pradesh, India using Daily Gridded Rainfall Data (1973-2023)

Analysis of Extreme Rainfall Trends Over 75 Locations (Distr...

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Cognitive Computing in Engineering, Communications, sciences and Biomedical Health Informatics (IC3ECSBHI), International Conference on

作者： Sushil Kumar Arun Kumar Amarendra Singh Amar Pratap Bhaskar Anurag Singh Baghel Jagabandhu Panda Deparment of Applied Mathematics Gautam Buddha University Greater Noida India Department of Mathematics M.M.H. College Ghaziabad India Centre for Atmospheric Sciences IIT Delhi India Department of Computer Science and Engineering Gautam Buddha University Greater Noida India Department of Earth and Atmospheric Sciences National Institute of Technology Rourkela India

ISBN: (数字)9798331518523

ISBN: (纸本)9798331518530

This study analyzes rainfall patterns in selected districts of Uttar Pradesh, India, using daily gridded rainfall data from the India Meteorological Department (IMD) for the period 1973 to 2023. Trends in severe daily rainfall occurrences were identified using the Mann-Kendall (MK) test. The inverse distance weighting (IDW) interpolation method was used to visualise the geographical distribution of rainfall patterns. The results demonstrate that while monsoon patterns were declining in certain areas, they were increasing in others. The study sheds light on how Uttar Pradesh's agricultural planning and water resource management are affected by rainfall unpredictability.

关键词： Climate change Irrigation Interpolation Rain Disasters Monsoons Market research Planning Floods Water resources

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MEMS ultrasonic transducers for safe,low-power and portable eye-blinking monitoring

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Microsystems & Nanoengineering 2022年第3期8卷 91-104页

作者： Sheng Sun Jianyuan Wang Menglun Zhang Yuan Ning Dong Ma Yi Yuan Pengfei Niu Zhicong Rong Zhuochen Wang Wei Pang State Key Laboratory of Precision Measuring Technology and Instruments Tianjin UniversityTianjinChina Deparment of Computer Science and Technology Universty of CambridgeCambridgeUK

Eye blinking is closely related to human physiology and *** is an effective method of communication among people and can be used in human-machine *** blink monitoring methods include videooculography,electro-oculograms and infrared ***,these methods suffer from uncomfortable use,safety risks,limited reliability in strong light or dark environments,and infringed informational *** this paper,we propose an ultrasound-based portable approach for eye-blinking activity ***-power pulse-echo ultrasound featuring biosafety is transmitted and received by microelectromechanical system(MEMS)ultrasonic transducers seamlessly integrated on *** size,weight and power consumption of the transducers are 2.5 mm by 2.5 mm,23.3 mg and 71μW,respectively,which provides better portability than conventional methods using wearable ***-blinking activities were characterized by open and closed eye states and validated by experiments on dfferent ***,real-time eye-blinking monitoring was successfully demonstrated with a response time less than 1 *** proposed solution paves the way for ultrasound-based wearable eye-blinking monitoring and offers miniaturization,light weight,low power consumption,high informational security and biosafety.

关键词： linking portable power

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Web-based Application for Real-Time Chatting using Firebase

Web-based Application for Real-Time Chatting using Firebase

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2022 IEEE International Conference on Knowledge Engineering and Communication Systems, ICKES 2022

作者： Reddy Lakkireddy, Sri Nishant Thomas, Aaron A Shree, T.Shreya Mamatha, Talakoti Sreenidhi Institute of Science and Technology Deparment of Computer Science Hyderabad India

ISBN: (纸本)9781665456371

A chat application is a program in cyberspace that allows Internet users who are online or have access to the internet to communicate directly with one another. In other words, we can send or receive the messages from one client to another client. The current trend is to send and receive message through visiting application. Facebook, WhatsApp, QQ Mobile, WeChat are a broadly used application. The Chat Application is like an Instant Messaging forward is also called as platform which is used to maintain the communication. Hence, we plan on build a web-based chat application where user can gain remote access throughout the world. And in this we use ReactJ s has frontend, and firebase as the Backend. And this application is used in the Android and also is IOS. © 2022 IEEE.

关键词： Application programs

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Treedy: A heuristic for counting and sampling subsets

Treedy: A heuristic for counting and sampling subsets

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29th Conference on Uncertainty in Artificial Intelligence, UAI 2013

作者： Niinimäki, Teppo Koivisto, Mikko Helsinki Institute for Information Technology Deparment of Computer Science University of Helsinki Finland

Consider a collection of weighted subsets of a ground set N. Given a query subset Q of N, how fast can one (1) find the weighted sum over all subsets of Q, and (2) sample a subset of Q proportionally to the weights? We present a tree-based greedy heuristic, Treedy, that for a given positive tolerance d answers such counting and sampling queries to within a guaranteed relative error d and total variation distance d, respectively. Experimental results on artificial instances and in application to Bayesian structure discovery in Bayesian networks show that approximations yield dramatic savings in running time compared to exact computation, and that Treedy typically outperforms a previously proposed sorting-based heuristic.

关键词： Bayesian networks

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Single classifier selection for ensemble learning 12th

Single classifier selection for ensemble learning

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12th International Conference on Advanced Data Mining and Applications, ADMA 2016

作者： Wang, Guangtao Yang, Xiaomei Zhu, Xiaoyan Deparment of Computer Science and Technology Xi’an Jiaotong University Xi’an710049 China

ISBN: (纸本)9783319495859

Ensemble classification is one of representative learning techniques in the field of machine learning, which combines a set of single classifiers together aiming at achieving better classification performance. Not every arbitrary set of single classifiers can obtain a good ensemble classifier. The efficient and necessary condition to construct an accurate ensemble classifier is that the single classifiers should be accurate and diverse. In this paper, we first formally give the definitions of accurate and diverse classifiers and put forward metrics to quantify the accuracy and diversity of the single classifiers;afterwards, we propose a novel parameter-free method to pick up a set of accurate and diverse single classifiers for ensemble. The experimental results on real world data sets show the effectiveness of the proposed method which could improve the performance of the representative ensemble classifier Bagging. © Springer International Publishing AG 2016.

关键词： Learning systems

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Street-crimes modelled arms recognition technique (SMART): Using VGG 2

Street-crimes modelled arms recognition technique (SMART): U...

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2nd International Conference on Smart Computing and Electronic Enterprise, ICSCEE 2021

作者： Ali Shah, Syed Atif Ahmad Al-Khasawneh, Mahmoud Uddin, M. Irfan Al-Madinah International University Deparment of Computer Science Kuala Lumpur Malaysia Northern University Nowshehra Pakistan Kohat University of Science and Technology Deparment of Computer Science Kohat Pakistan

ISBN: (纸本)9781665432221

Open access of arms(weapons) is one of the very common threat to the peace. Criminal activities especially violence directly hits peace and economic status of the society which results in stress and downfall;one of the major reason for all this anarchy is the open access to arms. This disordered situation can be handled using automatic arms detection. CNN along with its variant models demonstrated to be the best among all other machineries. In this paper VGG is compared with LeNet and AlexNet and a system is proposed for arms detection from video surveillance and named it SMART (Street-crimes Modelled Arms Recognition Technique). Results shown the efficacy of the proposed model (SMART) as compared to other models. © 2021 IEEE.

关键词： Crime

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