ECG Analysis-Based Cardiac Disease Prediction Using Signal Feature Selection with Extraction Based on AI Techniques DOI Creative Commons
Anamika Sharma,

H.S. Hota

International Journal of Communication Networks and Information Security (IJCNIS), Год журнала: 2022, Номер 14(3), С. 73 - 85

Опубликована: Дек. 23, 2022

ECG (Electrocardiogram) performs classification using a machine learning model for processing different features in the signal. The electrical activity of heart is computed with signal library. key issue handling signals an estimation irregularities to evaluate health status patients. impulse waveform specialized tissues cardiac diseases. However, comprises difficulties associated derive certain features. Through (ML) input are signals. In this paper, proposed Noise QRS Feature effective classification. computes sequences. Initially, pre-processed Finite Impulse response (FIR) filter analysis processed and responses kNN performance comparatively examined Discrete Wavelet Transform (DWT), Dual-Tree Complex Transforms (DTCWT) Orthonormal Stockwell (DOST) Cascade Feed Forward Neural Network (CFNN), (FFNN). Simulation expressed that exhibits higher accuracy 99% which ~6 – 7% than conventional classifier model.

Язык: Английский

A Scalable Platform to Collect, Store, Visualize and Analyze Big Data in Real- Time DOI
Pravin R. Kshirsagar, Dhoma Harshavardhan Reddy, Mallika Dhingra

и другие.

Опубликована: Фев. 22, 2023

Examination and evaluation of sentiment The most popular area for dissecting extracting knowledge from communication data many sources, such as Facebook, Instagram, Twitter, Amazon, so on, is known mining. It plays a fundamental role in enabling the organizations to work productively on advancing business system gaining comprehensive understanding buyer's feedback their product. entails calculating person's behavior terms his buying preferences then placing yourself shoes about commercial aspect relationship. You may think this component situation, person, blog post, or tangible experience. Appraisals, checks, Reflections created by customers be divided into smaller, more notable pieces usage large businesses. analysis comparable purchasing used understand needs customer foresee future opportunities assist them. E-business Associations track uses passions associated with Particulars via internal assessment adopt better marketing mechanism give tailored shopping experience customers, improving hierarchical advantage. By using Programming interface key, Twitter article was collected Twitter. Similarly, we really want finish setting up systems. Additionally, supported NLP approaches, thus wish implement calculation crucial backslide. exploratory problems exhibit perfection.

Язык: Английский

Процитировано

17

New Insights Into Strategic Consumer Behavior From the Field of Operations Management DOI

H. R. Swapna,

Emmanuel Bigirimana,

R. Geetha

и другие.

Advances in logistics, operations, and management science book series, Год журнала: 2024, Номер unknown, С. 289 - 298

Опубликована: Март 1, 2024

This study emphasizes the importance of adopting a consumer-centric approach to supply chain management, highlighting role data-driven analytics, including artificial intelligence and machine learning (AI/ML), in extracting actionable insights from consumer data. Such can enhance demand forecasting, personalization strategies, efficiency, customer satisfaction, risk mitigation. chapter looks into developing landscape emphasizing approach. It examines learning, The also discusses how such

Язык: Английский

Процитировано

6

From Theory to Practice DOI
Devanshri Bhatt,

H. R. Swapna,

Geetika Madaan

и другие.

Advances in logistics, operations, and management science book series, Год журнала: 2024, Номер unknown, С. 1 - 14

Опубликована: Март 1, 2024

The creation of computer systems that are capable performing tasks typically require human intelligence is known as artificial (AI). Problem-solving, education, perception, reasoning, understanding natural language, and some types decision-making all included in this list. Artificial a technology from the 20th century has undergone an accelerated evolution foundation for solutions to difficult issues business world. Currently, terms like digital marketing, decision-making, Industry 4.0, transformation associated with concepts neural networks, machine learning, or deep learning. As competitive advantages using by economic entities realized, interest likely rise. This study aims investigate progression within realm business.

Язык: Английский

Процитировано

6

A Review on Comparative study of 4G, 5G and 6G Networks DOI
Pravin R. Kshirsagar, Dhoma Harshavardhan Reddy, Mallika Dhingra

и другие.

Опубликована: Дек. 14, 2022

In the previous several years, wireless telecommunications technology has seen a significant change. The term "generation" in context of communication typically describes to shift essential characteristics assistance being offered, such as transmission technologies, bit rates, frequency bands, channel bandwidth, and data transfer capacity. One most active technological fields that is expanding too quickly age. There need implement technologies can be integrated adjusted order produce more advanced unified system because there are numerous superior available. this work, we provide summary particular, 4G, 5G, 6G Networks, detailed comparison between them.

Язык: Английский

Процитировано

22

Optimizing 6G Wireless Network Security for Effective Communication DOI

Rohit Anand,

Shahanawaj Ahamad,

Vivek Veeraiah

и другие.

Advances in wireless technologies and telecommunication book series, Год журнала: 2023, Номер unknown, С. 1 - 20

Опубликована: Март 3, 2023

Optimizing a function helps solve challenging problems. Any optimization problem that can't be solved quickly utilizing deterministic approaches is hard. Metaheuristic uses metaheuristics to discover optimum solutions. Meta and heuristic mean “higher level” “solution;” using complicated address unsolvable problems.6G will replace 5G wireless networks. 6G networks' higher frequencies boost their capacity minimize latency. The internet aspires for one-microsecond This 1,000 times faster at 1 millisecond.6G technology expected advance imaging, presence technologies, location awareness. WSNs integrate hardware software networks monitor record environmental variables other observable quantities. Wireless sensor (WSN) are utilized commercially domestically effective communication.

Язык: Английский

Процитировано

12

A Review on Comparison of Machine Learning Algorithms for Text Classification DOI
Mallika Dhingra, Dharmesh Dhabliya, M. K. Dubey

и другие.

Опубликована: Дек. 14, 2022

The majority of the data is preserved as text (about 75%), hence It believed that mining has a significant commercial potential. Unstructured texts continue to be most readily available source knowledge, despite fact knowledge may accessed in many other places. Text classification assigns documents predetermined categories. Machine learning approaches can categories more accurately. goal this work introduce classification, give description technique, general review classifiers, and comparison few current classifiers. based on performance, time complexity, factors. On basis speed, accuracy, benefits, drawbacks existing methods such Decision Tree, Naive Bayes, Support Vector Machine, k-Nearest Neighbours are compared.

Язык: Английский

Процитировано

19

New Proposed Policies and Strategies for Dynamic Load Balancing in Cloud Computing DOI
Dharmesh Dhabliya, Sukhvinder Singh Dari, Nitin N. Sakhare

и другие.

Advances in computer and electrical engineering book series, Год журнала: 2024, Номер unknown, С. 135 - 143

Опубликована: Янв. 25, 2024

In this chapter, there are very novel techniques in which, by deleting nodes that either overloaded or underloaded and then reassigning the total load to collective system's nodes, it is possible maximise usage of resources amount time takes for tasks be completed. The approaches utilised dynamic balancing based on behaviour system as being right now, opposed was past. When constructing an algorithm kind, most essential considerations give attention estimation comparison load, stability performance system, interaction between work needs transmitted, choice nodes.

Язык: Английский

Процитировано

4

Introduction to Emotion Detection and Predictive Psychology in the Age of Technology DOI
Vaibhav Vasani, Umesh Chandra,

Gayatri Sahu

и другие.

Advances in psychology, mental health, and behavioral studies (APMHBS) book series, Год журнала: 2024, Номер unknown, С. 1 - 16

Опубликована: Фев. 26, 2024

A performance study of a deep unified model for facial expression system using hybrid models like ResNet and DenseNet in CNN-based image classification framework is crucial. Assessing the effectiveness this complex that interprets expressions to identify emotions Data carefully prepared separated produce balanced representative dataset. The ResNet-DenseNet architecture It must be customised face recognition. augmentation, hyper parameter adjustment, regularisation are used optimise during training. Accuracy, precision, recall, F1-score, confusion matrix evaluate model's performance. different dataset may its generalisation skills. Comparing others might reveal

Язык: Английский

Процитировано

3

AI-Driven Predictive Analytics for Enhancing Automotive Safety in Financial Risk Assessments in Cloud Data DOI

Gita Radhakrishnan,

R. Varalakshmi,

Namrata Kapoor Kohli

и другие.

IGI Global eBooks, Год журнала: 2025, Номер unknown, С. 107 - 124

Опубликована: Апрель 4, 2025

Prediction technologies based on AI drive crucial automotive safety and financial risk assessment which results in minimizing losses as well increasing road safety. A Hybrid AI-Econometrics Model merges machine learning algorithms with econometric systems serves the main proposal to estimate quantify economic consequences linked accidents. TensorFlow performs deep operations within framework alongside Statsmodels analyze telematics data, insurance claims data macroeconomic for determining risks of accidents their connected costs. The model uses find patterns before calculating through GARCH (Generalized Autoregressive Conditional Heteroskedasticity) Vector Autoregression provides both accurate predictions understandable make it acceptable various users including insurers governmental agencies industries. research shows better capabilities enhances protective driving environments

Язык: Английский

Процитировано

0

Efficient COVID-19 Identification Using Deep Learning for IoT DOI
Vivek Veeraiah,

A. Pankajam,

Ela Vashishtha

и другие.

Опубликована: Дек. 14, 2022

Internet of Things (IoT) has made it possible to diagnose and treat patients remotely, as well expedite the transportation essential drugs medical equipment locations that are geographically separated. This occurred at a time when society become more socially distant. During Ebola COVID-19 outbreaks, technology was put use in remote patient monitoring management vaccine cold chain. Concurrently, this study reflects on variables required for IoT scale. Since December 2019, outbreak worldwide scale developed into significant problem. In order treatment be successful, is make prompt accurate diagnosis persons who may infected with virus. halt spread COVID-19, important construct an automated system based deep transfer learning capable detecting virus chest X-rays. The authors present internet-of-things makes ensemble earlier stage. It feasible keep eye potentially hazardous incidents they occur so long suitable procedures adhered to. Inceptions A variety different models included framework been proposed Things. According findings study, method suggested assisted radiologists accurately quickly identifying could have COVID-19. effort focuses developing effective identification standard setting.

Язык: Английский

Процитировано

13