標(biāo)題: Titlebook: Advancements in Smart Computing and Information Security; Second International Sridaran Rajagopal,Kalpesh Popat,Sunil Bajeja Conference pro [打印本頁(yè)] 作者: retort 時(shí)間: 2025-3-21 19:03
書目名稱Advancements in Smart Computing and Information Security影響因子(影響力)
書目名稱Advancements in Smart Computing and Information Security影響因子(影響力)學(xué)科排名
書目名稱Advancements in Smart Computing and Information Security網(wǎng)絡(luò)公開(kāi)度
書目名稱Advancements in Smart Computing and Information Security網(wǎng)絡(luò)公開(kāi)度學(xué)科排名
書目名稱Advancements in Smart Computing and Information Security被引頻次
書目名稱Advancements in Smart Computing and Information Security被引頻次學(xué)科排名
書目名稱Advancements in Smart Computing and Information Security年度引用
書目名稱Advancements in Smart Computing and Information Security年度引用學(xué)科排名
書目名稱Advancements in Smart Computing and Information Security讀者反饋
書目名稱Advancements in Smart Computing and Information Security讀者反饋學(xué)科排名
作者: 不妥協(xié) 時(shí)間: 2025-3-21 23:56 作者: Insensate 時(shí)間: 2025-3-22 04:08 作者: cumulative 時(shí)間: 2025-3-22 07:08
descriptions of site visits where new trends in 21st STEM education are being developed. The book also takes the reader into innovative learning environments in engineering where students are empowered by emer978-3-030-41633-1作者: Needlework 時(shí)間: 2025-3-22 11:34
Enhanced Oxygen Demand Prediction in Effluent Re-actors with ANN Modeling an enhanced vocabulary or language, improving his or her understanding of each patient. In the case of the sleep specialist, a scale can help him to distinguish fatigue from sleepiness in a patient, or elucida978-1-4939-0775-5978-1-4419-9893-4作者: 廢止 時(shí)間: 2025-3-22 13:29 作者: Genetics 時(shí)間: 2025-3-22 17:16
Swarm Based Enhancement Optimization Method for Image Enhancement for Diabetic Retinopathy Detectionan Ole G. Mouritsen, an esteemed Danish scientist and amateur chef who has had a lifelong fascination with sushi’s central role in Japanese culinary culture. .Sushi for the eye, the body, and the soul is a uniq978-1-4419-0618-2作者: 泄露 時(shí)間: 2025-3-23 00:53
Block Chain and IoT Architecture,icular, has revolutionized MSA by enabling the creation of complex models that can effectively analyze sentiment from diverse data sources. This survey provides an overview of the critical developments in MSA, highlighting the evolution of methods. It also presents a comparative analysis of state-of作者: Perigee 時(shí)間: 2025-3-23 03:35 作者: Obliterate 時(shí)間: 2025-3-23 08:35 作者: 植物群 時(shí)間: 2025-3-23 12:49
Identifying and Protecting User Accountss the forecasting of kidney diseases. The main goal of the study is to recognize CKD diseases at an earlier stage with the assistance of Machine Learning (ML) models like Linear Regression (LR), Support Vector Machine (SVM), and Multi-Layer Perceptron (MLP). In this study, models are designed with t作者: 管理員 時(shí)間: 2025-3-23 17:05 作者: 好忠告人 時(shí)間: 2025-3-23 18:08 作者: 幼兒 時(shí)間: 2025-3-23 23:47 作者: BRUNT 時(shí)間: 2025-3-24 04:22 作者: Veneer 時(shí)間: 2025-3-24 09:30
Blockchain Driven Supply Chain Management-consuming nature of manual COD measurement, industries often neglect to check DO levels before disposing of waste. The proposed study seeks to forecast the COD of treated waste from a wastewater treatment plant by utilizing crucial data gathered by sensors from the initial waste. This approach ensu作者: Vsd168 時(shí)間: 2025-3-24 14:37
https://doi.org/10.1007/978-3-030-96154-1seases in cotton crops using machine learning and artificial neural networks. An article has thoroughly examined numerous machine learning algorithms and their uses in the field of agricultural disease for this goal. The study also shows how machine learning methods are used in the subject of agricu作者: 率直 時(shí)間: 2025-3-24 18:48 作者: myelography 時(shí)間: 2025-3-24 19:12
News Sentiment and Cryptocurrency Volatilityacy, Sensitivity and Specificity. From the results obtained the proposed U Net gives accuracy of about 97% to 98.4%, Sensitivity of about 88.3% to 91% and Specificity of about 93.2% to 94.6% respectively. The tool used for execution is Matlab.作者: Incompetent 時(shí)間: 2025-3-25 03:02 作者: committed 時(shí)間: 2025-3-25 04:59 作者: predict 時(shí)間: 2025-3-25 11:13
Front Matterrts on a novel approach to STEM education professional learning, used as part of a school-based research project. The approach brought together primary and secondary school teachers to collaboratively program and team-teach science, resulting in reported improvements in the content knowledge and sel作者: Chandelier 時(shí)間: 2025-3-25 14:36
Multimodal Sentiment Analysis Using Deep Learning: A Reviewral historical perspective, we present a model of how teachers can support students’ instrumentation of collaborative environments and mathematical understanding. In our model, during a mathematical activity, teachers progressively decentralize their role and, simultaneously, support students’ devel作者: HEDGE 時(shí)間: 2025-3-25 19:53
Machine Learning Technique for Deteching Leaf Diseaseonal programs, and future workplace situations of Japanese STEM students, who are the innovators, inventors, and researchers of the future. This book will appeal to applied linguists and language teachers wherever STEM English is taught..978-3-031-11118-1978-3-031-11116-7作者: 音的強(qiáng)弱 時(shí)間: 2025-3-25 21:23 作者: RUPT 時(shí)間: 2025-3-26 00:51 作者: CORD 時(shí)間: 2025-3-26 05:05
A Novel Method for Predicting Kidney Disease using Optimized Multi-Layer Perceptron (PKD-OMLP) Classnging educational reality manifested by continuous curriculum reforms compounded by the avalanche of often contradictory and competing demands from the legislators, administrators, parents, and students. This book brings together researchers from Israel and Canada to discuss the challenges faced by 作者: 幻影 時(shí)間: 2025-3-26 11:14 作者: Affable 時(shí)間: 2025-3-26 16:23
Plant Disease Detection Automation Using Deep Neural Networksrand of cities and regions, the eight indicators of a virtuous cycle, and a model for the virtuous cycle that happens when K-12 STEM education is fully integrated into local policy. A brief introduction is provided to the rest of the volume. This chapter and volume are offered as a platform and enco作者: 頌揚(yáng)本人 時(shí)間: 2025-3-26 18:16
A Novel Image Filtering and Enhancement Techniques for Detection of Cancer Blood Disorderth the opportunity for extended investigations focused on a single problem or “team challenge.” Students utilize science and engineering practices while collaboratively conducting research to gather information. Once a plan is made, the team attempts to solve the problem or complete the open-ended t作者: spondylosis 時(shí)間: 2025-3-27 01:02 作者: 填料 時(shí)間: 2025-3-27 02:49
CT and MRI Image Based Lung Cancer Feature Selection and Extraction Using Deep Learning Techniques978-3-030-49216-8作者: foliage 時(shí)間: 2025-3-27 08:07
Efficient College Students Higher Education Prediction Using Machine Learning Approaches978-3-8349-8057-1作者: oxidize 時(shí)間: 2025-3-27 13:02
Efficient Lung Cancer Segmentation Using Deep Learning-Based Models978-981-15-3603-8作者: rectum 時(shí)間: 2025-3-27 17:10 作者: ANTE 時(shí)間: 2025-3-27 20:58 作者: 推遲 時(shí)間: 2025-3-27 22:59 作者: Emmenagogue 時(shí)間: 2025-3-28 04:48 作者: Mutter 時(shí)間: 2025-3-28 08:59 作者: 健忘癥 時(shí)間: 2025-3-28 14:27 作者: 消息靈通 時(shí)間: 2025-3-28 15:33
Contributions to Management Sciencelosis dataset. Naive Bayes, Logistic Regression, Decision Tree, Random Forest classifier, K-Nearest Neighbour, and Support Vector Machine were among the classification techniques examined in the investigation. Support Vector Machine (SVM), Random Forest, and Decision Tree algorithms show the highest作者: 中世紀(jì) 時(shí)間: 2025-3-28 21:55
Block Chain and IoT Architecture,positive, negative, neutral), subjective opinion, emotional tone, sometimes even more fine-grained emotion like joy, anger, sadness, and others. The evolution of sentiment analysis from its early days of text only analysis to the incorporation of multimodal data has significantly enhanced the accura作者: Induction 時(shí)間: 2025-3-28 23:34
A. Swain,K. P. Swain,G. Palai,M. N. Mohantyeases that direct to decline of the mixed economy. The most important economic and scientific challenge in agriculture is the categorization and identification of rice disorders. Detection and monitoring of theses disease is the critical issue. If these diseases are identified at the first stage app作者: 杠桿支點(diǎn) 時(shí)間: 2025-3-29 05:22
https://doi.org/10.1007/978-3-030-89546-4on and precise prediction of CVDs. We offer an in-depth process for feature extraction and classification for CVD risk identification in this paper. By combining the strength of Support Vector Machines (SVM) classification with Linear Discriminant Analysis (LDA), Principal Component Analysis (PCA) a作者: 驚惶 時(shí)間: 2025-3-29 09:28
https://doi.org/10.1007/978-1-4842-2604-9ter-based algorithms are exact results, adaptability, transparency, and better decision-making. The proposed work three major steps are preprocessing, feature selection and classification. Firstly preprocessing, data analysis pre-processing is the major step in identifying exact methods. Most of the作者: 繞著哥哥問(wèn) 時(shí)間: 2025-3-29 12:22 作者: Graphite 時(shí)間: 2025-3-29 17:20
https://doi.org/10.1007/978-1-4842-2604-9dical data, identify cardiac disorders, and make precise predictions about their presence or absence. Utilizing the effectiveness of LR (Logistic Regression) in combination with sophisticated preprocessing methods has emerged as an important strategy in the classification of heart-related diseases. 作者: 我沒(méi)有強(qiáng)迫 時(shí)間: 2025-3-29 22:54
Understanding the Nature of Ownershiphnologies for production. The next major important requirement in Plant diseases is early prediction and necessary related recommendations. In this research, the proposed method is implemented with the plant leaf dataset, which consists of diseased and healthy data of various plant leaves. The predi作者: 乞丐 時(shí)間: 2025-3-30 03:01 作者: Cytology 時(shí)間: 2025-3-30 06:07
Advances in Information Security red blood cells, or any one of the four main components of blood. Proposed work goal is to identify cancer blood condition. In this research, Images of cancer and blood disorder are preprocessed utilizing enhancement and filtration methods. In research suggested a 2D Hybrid Wavelet Frequency Domain作者: 彩色的蠟筆 時(shí)間: 2025-3-30 10:12 作者: 良心 時(shí)間: 2025-3-30 13:15
https://doi.org/10.1007/978-3-030-96154-1overall GDP. Agriculture is a major component of an argo economy like India’s. The Indian economy benefits from the agricultural sector as well as the industrial sector and foreign import and export trade. Even while the agricultural sector in India currently employs the most people nationwide, its 作者: trigger 時(shí)間: 2025-3-30 19:42
https://doi.org/10.1007/978-3-030-96154-1cautionary measures, can completely work on their richness. Recently, ML methods have been widely utilized in the education domain to forecast the performance of students. Predicting higher education rates using machine learning can be approached in several ways, based on the existing data and the d作者: 倔強(qiáng)不能 時(shí)間: 2025-3-30 21:35
News Sentiment and Cryptocurrency Volatilityhniques have been used to do so. Lung cancer segmentation is a process of identifying and isolating lung cancer tissues from medicinal picture like CT or MRI scan images. This process is essential for accurate diagnosis and management planning of lung cancer. Computing techniques can be used to auto作者: 方便 時(shí)間: 2025-3-31 04:18
Gülüzar Kurt Gümü?,Yusuf Gümü?,Ay?egül ?imenn identifying skin cancer regions. CSDM-Deep-CNN is a novel approach for efficient skin disease detection with minimal execution time. CSDM-Deep-CNN leverages deep convolutional neural networks with batch normalization. The objective of this study is to address the complexities in dermatology and th作者: habitat 時(shí)間: 2025-3-31 06:31
News Sentiment and Cryptocurrency Volatilityent in dermatological images can significantly hinder diagnostic accuracy. Existing research primarily focuses on either shape analysis or deep learning techniques individually, with limited consideration of hybrid approaches that can leverage the complementary strengths of both methodologies. To ad作者: FUSC 時(shí)間: 2025-3-31 11:53
Burak Pirgaip,Burcu Din?erg?k,?üheda Ha?lakof visual deterioration will be greatly lowered by early identification and treatment with DR. Because of the complexity of imaging environments, fundus images are usually hampered by noise and poor contrast problems. This study proposes an algorithm for enhancing image quality by lowering noise and作者: Priapism 時(shí)間: 2025-3-31 15:54
