標(biāo)題: Titlebook: Data Science and Security; Proceedings of IDSCS Samiksha Shukla,Hiroki Sayama,Durgesh Kumar Mishra Conference proceedings 2024 The Editor(s [打印本頁] 作者: 法庭 時(shí)間: 2025-3-21 17:24
書目名稱Data Science and Security影響因子(影響力)
書目名稱Data Science and Security影響因子(影響力)學(xué)科排名
書目名稱Data Science and Security網(wǎng)絡(luò)公開度
書目名稱Data Science and Security網(wǎng)絡(luò)公開度學(xué)科排名
書目名稱Data Science and Security被引頻次
書目名稱Data Science and Security被引頻次學(xué)科排名
書目名稱Data Science and Security年度引用
書目名稱Data Science and Security年度引用學(xué)科排名
書目名稱Data Science and Security讀者反饋
書目名稱Data Science and Security讀者反饋學(xué)科排名
作者: 衰弱的心 時(shí)間: 2025-3-21 22:52 作者: 拱形大橋 時(shí)間: 2025-3-22 00:34
Data: A Key to HR Analytics for Talent Management,anies to plan and recruit better talent to keep up with the demand for skilled employees. As a result, Human Resource (HR) professionals are now using workforce planning and HR analytics to address the challenges of finding and retaining the right employees. With the help of technological advancemen作者: Generator 時(shí)間: 2025-3-22 04:44
An Early Lumpy Skin Disease Detection System Using Machine Learning, of cattle to express pain caused by this disease leads to ignorance and the spread of this disease. This disease may also lead to fatality in some cases. Hence, proper precautions must be taken against the spread. Through manual observation, veterinary doctors generally detect Lumpy Skin Disease. H作者: 憤慨一下 時(shí)間: 2025-3-22 09:33 作者: 沉默 時(shí)間: 2025-3-22 14:21 作者: 沉默 時(shí)間: 2025-3-22 17:14 作者: Cubicle 時(shí)間: 2025-3-22 23:41
,GLANCE—Guided Language Through Autoregression Establishing Natural and Classifier-Free Editing,mproved the quality and relevance of generated images, certain crucial questions remained unanswered, limiting their practicality and overall quality. To address these issues, the researchers introduced a novel text-to-image method. This method allows for better control of the scene depicted in the 作者: 忘恩負(fù)義的人 時(shí)間: 2025-3-23 04:17
Method for Design of Magnetic Field Active Silencing System Based on Robust Meta Model,fore, all over the world, methods to reduce the level of the magnetic field in existing residential buildings located near power lines intensively developed. The paper proposes a new method design for a system of active silencing to reduce the magnetic field generated by aerial transmission line gro作者: Conduit 時(shí)間: 2025-3-23 05:32
Ontology Integration for Cultural Landscape Management Using ML and Assistive Artificial Intelligenon and inter-country relationships. The model fully automates ontology generation by extracting categories and informative terms from the dataset, applying topic modeling, and enriching metadata using generated topics. It strengthens knowledge by incorporating glossary indexes from e-books and lever作者: kidney 時(shí)間: 2025-3-23 12:20 作者: 串通 時(shí)間: 2025-3-23 15:35
Classification of Diseased Leaves in Plants Using Convolutional Neural Networks,d weeds, for which farmers spray chemical pesticides to get a good yield. The issue here is over-usage and under-usage of pesticides, which might harm the end consumer. To achieve the goal of reducing pesticide use and detecting pests in the crop early, the machine learning algorithm is deployed on 作者: 調(diào)味品 時(shí)間: 2025-3-23 21:36
Brain Tumor Localization Using Deep Ensemble Classification and Fast Marching Segmentation,ky as they press on healthy brain tissue or expand in the brain. Detecting brain tumors early is tough for radiologists. A typical brain tumor can double in size in just 25?days, and without the right treatment, patients often have limited chances of survival, about six months. Initial symptoms can 作者: penance 時(shí)間: 2025-3-24 00:41 作者: initiate 時(shí)間: 2025-3-24 06:18 作者: 占卜者 時(shí)間: 2025-3-24 09:02 作者: Pert敏捷 時(shí)間: 2025-3-24 14:04 作者: cringe 時(shí)間: 2025-3-24 16:53
BI-RADS Score Prediction Using AI for Breast Cancer Screening,agnosis, AI is used powerfully. This study demonstrates the usage of AI in breast cancer screening. The most popular breast cancer screening test now available is a mammogram. However, mammograms have limitations, which could be overcome by AI. This study investigates how radiologists can utilize Ar作者: 飲料 時(shí)間: 2025-3-24 21:07
,Modeling and?Analysis of?the?Lead-Lag Network of?Economic Indicators,era with a weighted directed network of lagged variables. The analysis includes a stock index, average unemployment, and several variables that are used to calculate inflation. Three complex networks are created, with these variables and several lags of each as the network nodes. Network edges are w作者: ANA 時(shí)間: 2025-3-25 00:30 作者: 窩轉(zhuǎn)脊椎動(dòng)物 時(shí)間: 2025-3-25 04:34
Chawki Barhoumi,Yassine Ben Ayedhem as it encounters nodes, junctions, dead ends, or obstacles in its path. This research presents a powerful tool for streamlining warehouse operations, enhancing productivity, and ensuring efficient task execution in complex industrial settings.作者: Irascible 時(shí)間: 2025-3-25 08:05 作者: Induction 時(shí)間: 2025-3-25 14:52
Agent-Based Approach for Ship Damage Controlt-Savart law. Multi-swarm stochastic optimization algorithm was used to calculate both games’ solutions. Second stage research was computer simulation of a system of active silencing magnetic field and experimental research.作者: 狂熱語言 時(shí)間: 2025-3-25 18:36 作者: oracle 時(shí)間: 2025-3-25 22:17 作者: 束縛 時(shí)間: 2025-3-26 02:15
iFAS: Image Fidelity Assessmentmammography pictures from 414 subjects. The radiologist can follow this model when analyzing mammogram images. The prediction model provides results with a precision of 0.75 for Bi-rad 0, 0.96 for Bi-rad 1, and 0.6 for Bi-rad 2.作者: Expand 時(shí)間: 2025-3-26 05:02 作者: 橢圓 時(shí)間: 2025-3-26 09:05
,GLANCE—Guided Language Through Autoregression Establishing Natural and Classifier-Free Editing,lts in terms of image quality and human evaluation, enabling the generation of high-fidelity 512?×?512-pixel images. Moreover, this method introduced new capabilities, including scene editing, text editing with reference scenes, handling out-of-distribution text prompts, and generating story illustrations.作者: Keratectomy 時(shí)間: 2025-3-26 15:00 作者: 直覺沒有 時(shí)間: 2025-3-26 18:55 作者: Encapsulate 時(shí)間: 2025-3-27 00:31
Brain Tumor Localization Using Deep Ensemble Classification and Fast Marching Segmentation,ng the tumor through segmentation. We use a combined model of MobileNet-V3 and EfficientNetV2 for image classification. To segment the tumor in the image, we use a fast marching method. The combined model‘s classification accuracy is 98%, and the segmentation accuracy is 99.6%.作者: glucagon 時(shí)間: 2025-3-27 01:10
BI-RADS Score Prediction Using AI for Breast Cancer Screening,mammography pictures from 414 subjects. The radiologist can follow this model when analyzing mammogram images. The prediction model provides results with a precision of 0.75 for Bi-rad 0, 0.96 for Bi-rad 1, and 0.6 for Bi-rad 2.作者: condone 時(shí)間: 2025-3-27 08:09
Conference proceedings 2024urrent research works in the areas of data science, data security, data analytics, artificial intelligence, machine learning, computer vision, algorithms design, computer networking, data mining, big data, text mining, knowledge representation, soft computing, and cloud computing.作者: Insatiable 時(shí)間: 2025-3-27 12:00
A Multidistortion Database for Image Qualityose of Classification. Evaluation metrics such as Precision, Recall, and F1 Score have been used to measure the efficiency of Classification. Logistic Regression and Gradient Boosting Algorithms have outperformed other Multiclass Classification techniques.作者: 發(fā)怨言 時(shí)間: 2025-3-27 14:54
Analysis of Multinomial Classification for Legal Document Categorization,ose of Classification. Evaluation metrics such as Precision, Recall, and F1 Score have been used to measure the efficiency of Classification. Logistic Regression and Gradient Boosting Algorithms have outperformed other Multiclass Classification techniques.作者: MUTE 時(shí)間: 2025-3-27 19:55 作者: 仇恨 時(shí)間: 2025-3-27 22:18 作者: 虛情假意 時(shí)間: 2025-3-28 03:11 作者: OPINE 時(shí)間: 2025-3-28 06:46
Lecture Notes in Computer Scienceggregated to simplify the weighted directed graph. Pagerank is used to determine the most influential and the most influenced node over the time period. Results were reasonably robust within each network, but they were heavily dependent on the choice of metric.作者: 易達(dá)到 時(shí)間: 2025-3-28 10:42
An Early Lumpy Skin Disease Detection System Using Machine Learning,rediction. Here, a Random Forest-based machine learning model is used to detect lumpy skin disease. The data used for training and validation of lumpy skin disease available on Kaggle is used. The proposed model has shown an accuracy of 98%.作者: reptile 時(shí)間: 2025-3-28 17:31
Ontology Integration for Cultural Landscape Management Using ML and Assistive Artificial Intelligen with differential thresholds, enhancing reasoning infrastructure. The model achieves a high precision of 95.06%, a low False Discovery Rate of 0.05, and an impressive F-measure of 96.06%. This research makes a significant contribution to automatic ontology conception, particularly in rare domains like cultural landscape management.作者: FRET 時(shí)間: 2025-3-28 20:25 作者: 維持 時(shí)間: 2025-3-29 01:53
Conference proceedings 2024y the Department of Data Science, CHRIST (Deemed to be University), Pune Lavasa Campus, India, from 02–04 November, 2023. The proceeding targets the current research works in the areas of data science, data security, data analytics, artificial intelligence, machine learning, computer vision, algorit作者: 不愛防注射 時(shí)間: 2025-3-29 05:07 作者: fringe 時(shí)間: 2025-3-29 10:27
OGIA: Ontology Integration and Generation Using Archaeology as a Domain,, and evolutionary algorithm help in optimizing initial solution sets to a much more optimal solution set for generating ontologies. Overall, a highest average precision percentage of 94.09%, highest average accuracy percentage of 95.09%, highest average recall percentage of 96.09%, and highest aver作者: Locale 時(shí)間: 2025-3-29 11:38 作者: 綁架 時(shí)間: 2025-3-29 16:16
,Extracting Network Structures from?Corporate Organization Charts Using Heuristic Image Processing,Diagram Handbook” published by Diamond, Inc., from 2008 to 2011. Out of the 10,008 organization chart PDF files, our method was able to reconstruct 4,606 organization networks (data acquisition success rate: 46%). For each reconstructed organization network, we measured several network diagnostics, 作者: indicate 時(shí)間: 2025-3-29 23:39
Generating Equations for Mathematical Word Problems Using Multi-head Attention Transformer,cal equations for word problems, outperforming other models that use traditional sequence-to-sequence approaches. The analysis of the attention mechanism of our model is also mentioned, which sheds light on how it learns to attend to relevant parts of the input sequence to generate the correct mathe作者: indemnify 時(shí)間: 2025-3-30 03:02
Early Phase Detection of Bacterial Blight in Pomegranate Using GAN Versus Ensemble Learning, traditional methods. Without the use of paired training data, the suggested method of Cycle-GAN is a sort of Generative Adversarial Network (GAN) that can learn to translate images from one domain to another. Cycle-GAN has demonstrated its efficacy in various image-to-image translation problems by 作者: 游行 時(shí)間: 2025-3-30 07:16
Pioneering Image Analysis with Hybrid Convolutional Neural Networks and Generative Adversarial Netw of the standout features of the hybrid G-CNN model is its exceptional loss metrics. It achieves the lowest loss at an astonishingly low value of 0.030, and concurrently, it records the lowest validation loss at 0.031. These results clearly establish the superiority of the hybrid G-CNN model in comp作者: 彎曲道理 時(shí)間: 2025-3-30 10:10
,Enhancing Medical Decision Support Systems with?the?Two-Parameter Logistic Regression Model,n its potential to enhance the reliability of predictions for binary outcome variables in the medical domain. These novel estimators offer a promising solution to the multicollinearity challenge, contributing to more accurate and trustworthy results, ultimately benefiting medical practitioners and r作者: 體貼 時(shí)間: 2025-3-30 12:56
Homophily, Mobility and Opinion Formationholds with the highest net worth do not necessarily carry the highest debt. Additionally, households with high net worth and assets may not have high home values, while households with high home values may have relatively lower assets. The study provides actionable insights that can guide credit com作者: 嘲笑 時(shí)間: 2025-3-30 18:56
Marcin Jod?owiec,Marek Krótkiewicz, and evolutionary algorithm help in optimizing initial solution sets to a much more optimal solution set for generating ontologies. Overall, a highest average precision percentage of 94.09%, highest average accuracy percentage of 95.09%, highest average recall percentage of 96.09%, and highest aver作者: Condescending 時(shí)間: 2025-3-31 00:28
Thu Tran Minh Nguyen,Thinh Pham Quoc Tranalyzing the workforce skill requirements of the organization. It needs a strategic plan to ensure the appropriate people are in the right roles at the right times. Talent Management is a crucial element of every business’s performance. In this process, data play a pivotal role in evaluating the exis作者: 混合 時(shí)間: 2025-3-31 04:41 作者: Anecdote 時(shí)間: 2025-3-31 06:50 作者: 俗艷 時(shí)間: 2025-3-31 10:49
Lecture Notes in Computer Science traditional methods. Without the use of paired training data, the suggested method of Cycle-GAN is a sort of Generative Adversarial Network (GAN) that can learn to translate images from one domain to another. Cycle-GAN has demonstrated its efficacy in various image-to-image translation problems by 作者: IRS 時(shí)間: 2025-3-31 13:55
https://doi.org/10.1007/978-3-319-56010-6 of the standout features of the hybrid G-CNN model is its exceptional loss metrics. It achieves the lowest loss at an astonishingly low value of 0.030, and concurrently, it records the lowest validation loss at 0.031. These results clearly establish the superiority of the hybrid G-CNN model in comp作者: Explosive 時(shí)間: 2025-3-31 19:05 作者: Pudendal-Nerve 時(shí)間: 2025-4-1 00:37
