標(biāo)題: Titlebook: Data Science and Network Engineering; Proceedings of ICDSN Suyel Namasudra,Munesh Chandra Trivedi,Pascal Lore Conference proceedings 2024 T [打印本頁] 作者: 文化修養(yǎng) 時間: 2025-3-21 17:36
書目名稱Data Science and Network Engineering影響因子(影響力)
書目名稱Data Science and Network Engineering影響因子(影響力)學(xué)科排名
書目名稱Data Science and Network Engineering網(wǎng)絡(luò)公開度
書目名稱Data Science and Network Engineering網(wǎng)絡(luò)公開度學(xué)科排名
書目名稱Data Science and Network Engineering被引頻次
書目名稱Data Science and Network Engineering被引頻次學(xué)科排名
書目名稱Data Science and Network Engineering年度引用
書目名稱Data Science and Network Engineering年度引用學(xué)科排名
書目名稱Data Science and Network Engineering讀者反饋
書目名稱Data Science and Network Engineering讀者反饋學(xué)科排名
作者: faucet 時間: 2025-3-21 22:23
Lecture Notes in Networks and Systemshttp://image.papertrans.cn/d/image/263102.jpg作者: 一回合 時間: 2025-3-22 02:00
Data Science and Network Engineering978-981-99-6755-1Series ISSN 2367-3370 Series E-ISSN 2367-3389 作者: instructive 時間: 2025-3-22 04:59 作者: 陰險 時間: 2025-3-22 08:59
978-981-99-6754-4The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapor作者: 紡織品 時間: 2025-3-22 16:07 作者: 紡織品 時間: 2025-3-22 18:18 作者: 輕率的你 時間: 2025-3-23 00:52
Arpita Barman Santra,Amiya Kumar Mallickased on facial expressions. Many music applications are based on a user’s browsing history but this work presents an idea on the music recommendation based on users’ facial expressions that give outstanding results. It has got a unique ability to lift one’s mood. The work’s overall concept is recogn作者: 聯(lián)想 時間: 2025-3-23 04:13
https://doi.org/10.1007/978-3-030-79290-9ies. Time series analysis is a tackle for sales forecasting, as it allows us to analyze and model data based on time-dependent patterns. In this paper, we explore different time series analysis techniques and their application to sales forecasting. We use a real-world sales dataset (retail) to demon作者: 過濾 時間: 2025-3-23 08:10 作者: Inoperable 時間: 2025-3-23 10:56
Lecture Notes in Computer Sciencees about crimes. Studies indicate that young people tend to replicate behaviors and attitudes they observe in the news, making them vulnerable to becoming numb to violence and increasingly prone to violent and aggressive conduct. Prolonged and repeated exposure to such events may have serious conseq作者: 漫不經(jīng)心 時間: 2025-3-23 14:57 作者: insidious 時間: 2025-3-23 18:16 作者: Admire 時間: 2025-3-23 23:07
Validation Methodology: Review and Commentsocess of freshness deterioration, which leads to bacterial growth.?As a result, the need for a reliable and quick way of monitoring and evaluating meat deterioration is growing urgent. By Considering these aspects, this paper proposes a Novel Fifteen Layered Deep Convolutional Neural Network (15L-DC作者: 消息靈通 時間: 2025-3-24 04:28 作者: 丑惡 時間: 2025-3-24 07:07
https://doi.org/10.1007/978-1-4613-8342-0ng capacity of law enforcement agencies has not kept pace. ATM spoofing attacks can be carried out to break or damage the ATM by stealing the machine and taking cash from the ATM. To reduce this problem, we arm the ATM with a camera module mounted in the room to perform continuous video observation.作者: Preserve 時間: 2025-3-24 13:03 作者: 名義上 時間: 2025-3-24 16:34 作者: plasma-cells 時間: 2025-3-24 19:58
Introduction: Polymer Melt Mechanics, a good overview of the content. Also, it saves time by exposing the most significant information at a glance. Summarization techniques are very vital in extracting this useful information from lengthy text. In this work, a novel architecture for abstractive text summarization architecture, BASiP, h作者: Assignment 時間: 2025-3-25 02:05 作者: extrovert 時間: 2025-3-25 04:32
Tuomas Virtanen,Mark D. Plumbley,Dan Ellisous change in land minerals, weather situation, and pesticide usage affect the yield of the crops. Farmers can choose successful crops for the season with the help of machine learning algorithms used for crop yield prediction. In this study, we forecasted agricultural production using numerous kinds作者: PAD416 時間: 2025-3-25 08:28 作者: FIN 時間: 2025-3-25 13:53 作者: 熱情贊揚(yáng) 時間: 2025-3-25 19:08 作者: 載貨清單 時間: 2025-3-25 22:53
Christopher K. W. Tam,Jay C. Webb,Zhong Donget. This paper examines how these methods can be used to detect ships. We trained and tested these two models on a large maritime dataset. On examining the performance of the two models, we have compared the working of both.作者: emission 時間: 2025-3-26 02:26
Introduction: Polymer Melt Mechanics,is compared with the existing work. It is found that BASiP performs well in terms of the ROUGE score. Also, a case study is given at the end to show the efficiency of BASiP, in generating a meaningful summary.作者: Alveoli 時間: 2025-3-26 06:30
Evaluation of Hand-Crafted Features for the Classification of Spam SMS in Dravidian Languagesavidian languages like Tamil, Kannada, Telugu, and Malayalam and creates an optimal Spam-Ham filtering framework. Experimentation has also been carried out with a benchmark dataset for performance comparison regarding accuracy, precision, recall, and F1-score.作者: Fresco 時間: 2025-3-26 12:20 作者: 不規(guī)則 時間: 2025-3-26 15:10
BASiP: A Novel Architecture for Abstractive Text Summarizationis compared with the existing work. It is found that BASiP performs well in terms of the ROUGE score. Also, a case study is given at the end to show the efficiency of BASiP, in generating a meaningful summary.作者: sparse 時間: 2025-3-26 19:55
Arpita Barman Santra,Amiya Kumar Mallickizing facial expressions and efficiently recommending songs. The proposed model will be both time and cost-efficient. This yields better performance and computational time accuracy and reduces the design cost.作者: CLOWN 時間: 2025-3-26 21:43
Bikram Sahoo,Seth Sims,Alexander Zelikovsky to obtain a good solution. In this paper, we would like to compare the results of both algorithms. Experimental results were examined with functions which were function maximization and results show that the Turbulent PSO outperform the GA.作者: perimenopause 時間: 2025-3-27 02:27 作者: ADAGE 時間: 2025-3-27 06:30 作者: Indict 時間: 2025-3-27 12:56
Turbulent Particle Swarm Optimization and Genetic Algorithm for Function Maximization to obtain a good solution. In this paper, we would like to compare the results of both algorithms. Experimental results were examined with functions which were function maximization and results show that the Turbulent PSO outperform the GA.作者: yohimbine 時間: 2025-3-27 17:36
Conference proceedings 2024), deep learning (DL), computer networks, blockchain, security and privacy, Internet of things (IoT), cloud computing, big data, supply chain management, and many more. Different sections of this book are highly beneficial for the researchers, who are working in the field of data science and network engineering..作者: 俗艷 時間: 2025-3-27 18:14
Arnab Das,Bipa Datta,Moumita Mukherjee shown in the plots. The metrics and the running times are reported. There is not necessarily a certain training algorithm to be preferred, although there are some advantages and disadvantages for each. The code is available at ..作者: attenuate 時間: 2025-3-27 22:31
Lecture Notes in Computer Sciencewell-known statistical measures and machine learning (ML) models. In this proposed system, we compare Linear Support Vector Classifier (LSVC), Logistic Regression (LR), Multinomial Na?ve Bayes (MNB), Random Forest Classifier (RFC), and Decision Tree Classifier (DTC) algorithms in which LR outperforms the other algorithms.作者: Baffle 時間: 2025-3-28 03:09
Bikram Sahoo,Seth Sims,Alexander Zelikovskyadvances AI-powered computer vision systems by providing significant insights into the implementation of OpenCV with Python. The focus of future work will be on improving system accuracy and broadening its functional range.作者: 朝圣者 時間: 2025-3-28 08:05
https://doi.org/10.1007/978-1-4613-8342-0activity at ATMs. Therefore, in this work, abnormal behavior is observed using CNN and RNN in surveillance videos. These algorithms can be used to recognize faces, detect and track camera movements, and detect and identify the action required to prevent such activity.作者: defile 時間: 2025-3-28 12:58 作者: Exploit 時間: 2025-3-28 16:27
Computational Analysis and Methodology,per tested several machine learning methods using supervised classification techniques and got the highest accuracy among other low-resource languages in most of the models tested and among which Multinomial Naive Bayes classification gives an accuracy of 96% and is the highest when compared to the other models.作者: inventory 時間: 2025-3-28 21:56 作者: HEED 時間: 2025-3-29 00:02
Teenager Friendly News Classification Using Machine Learning Modelwell-known statistical measures and machine learning (ML) models. In this proposed system, we compare Linear Support Vector Classifier (LSVC), Logistic Regression (LR), Multinomial Na?ve Bayes (MNB), Random Forest Classifier (RFC), and Decision Tree Classifier (DTC) algorithms in which LR outperforms the other algorithms.作者: 厚顏 時間: 2025-3-29 06:49 作者: chemoprevention 時間: 2025-3-29 10:59 作者: 小故事 時間: 2025-3-29 11:41
A Framework for Extractive Text Summarization of Single Text Document in Tamil Language Using Frequearity and so on. In this paper, a framework for extractive text summarization using features extracted from a Tamil document has been proposed. The summarizer is based on Fuzzy logic inference engine. The framework describes the modules involved in the generation of Extractive Text Summary for a single document.作者: 拱形大橋 時間: 2025-3-29 15:39
An Approach to Mizo Language News Classification Using Machine Learningper tested several machine learning methods using supervised classification techniques and got the highest accuracy among other low-resource languages in most of the models tested and among which Multinomial Naive Bayes classification gives an accuracy of 96% and is the highest when compared to the other models.作者: Brocas-Area 時間: 2025-3-29 20:03 作者: 柔軟 時間: 2025-3-30 03:32
Evaluation of Hand-Crafted Features for the Classification of Spam SMS in Dravidian Languagesrauds share. This immediate reaction to the fraud messages makes people lose their balance in bank accounts or fall into some other horrible events. These types of fake or spam messages have to be identified earlier before they come to users’ Inbox. This paper proposes a Spam message filtering model作者: certain 時間: 2025-3-30 06:28
Training Algorithms for Mixtures of Normalizing Flowst do not necessarily provide an actual implementation of the method. These four algorithms are gradient ascent maximizing the log-likelihood of the data, (soft) expectation–maximization, hard expectation–maximization, and gradient ascent maximizing the evidence lower bound. Our contribution or the n作者: larder 時間: 2025-3-30 08:21
Facial Expression Based Music Recommendation System Using Deep Learningased on facial expressions. Many music applications are based on a user’s browsing history but this work presents an idea on the music recommendation based on users’ facial expressions that give outstanding results. It has got a unique ability to lift one’s mood. The work’s overall concept is recogn作者: 消毒 時間: 2025-3-30 15:19 作者: Processes 時間: 2025-3-30 19:42
Keystroke Dynamics-Based Analysis and Classification of Hand Posture Using Machine Learning Techniqud rhythm of their keyboard strokes. It alludes to the precise timing data that shows when each key was pressed and when it was released during keyboard typing. Keystroke Dynamics assists in identifying a specific person‘s hand biometric template. This research uses a wide range of dwell time and fli作者: Awning 時間: 2025-3-30 23:39 作者: Harridan 時間: 2025-3-31 03:10
Turbulent Particle Swarm Optimization and Genetic Algorithm for Function Maximizationorithm (GA). One of the drawbacks of standard PSO was to prematurely converge on local optimal solutions. In this work, we have used Turbulent Particle Swarm Optimization (TPSO) instead of standard PSO due to the drawback mentioned above. Here, different operations of Genetic algorithm were included作者: 山間窄路 時間: 2025-3-31 09:02
An Innovative New Open Computer Vision Framework Via Artificial Intelligence with Pythonamework, has played an important role in allowing computer vision tasks. This study presents an AI-driven Python implementation of the OpenCV framework to expand its capabilities. Data collecting and pre-processing, feature extraction, model selection and training, and Python-based system implementa作者: Figate 時間: 2025-3-31 10:27
Meat Freshness State Prediction Using a Novel Fifteen Layered Deep Convolutional Neural Networkocess of freshness deterioration, which leads to bacterial growth.?As a result, the need for a reliable and quick way of monitoring and evaluating meat deterioration is growing urgent. By Considering these aspects, this paper proposes a Novel Fifteen Layered Deep Convolutional Neural Network (15L-DC作者: dyspareunia 時間: 2025-3-31 16:14 作者: MORPH 時間: 2025-3-31 17:47
Smart Surveillance System and Prediction of Abnormal Activity in ATM Using Deep Learningng capacity of law enforcement agencies has not kept pace. ATM spoofing attacks can be carried out to break or damage the ATM by stealing the machine and taking cash from the ATM. To reduce this problem, we arm the ATM with a camera module mounted in the room to perform continuous video observation.作者: FACET 時間: 2025-3-31 23:23
A Framework for Extractive Text Summarization of Single Text Document in Tamil Language Using Frequehe content may be comprehensive and redundant. A summary gives an insight of the document. Text summarization is broadly classified into two categories—extractive and abstractive summarization. Abstractive summarization uses deep learning techniques to generate summary, just as humans generate summa作者: Provenance 時間: 2025-4-1 04:02
An Approach to Mizo Language News Classification Using Machine Learningial Intelligence and Machine Learning. With the advancement in?technology, computational power has also increased dramatically in the past few years, and this has led to more and more advancements in Artificial?Intelligence research and its applications. Mizo language, which is a low-resource langua
