標(biāo)題: Titlebook: Data Science and Big Data Analytics; Proceedings of IDBA Durgesh Mishra,Xin She Yang,Dharm Singh Jat Conference proceedings 2024 The Edito [打印本頁] 作者: MOURN 時(shí)間: 2025-3-21 19:46
書目名稱Data Science and Big Data Analytics影響因子(影響力)
書目名稱Data Science and Big Data Analytics影響因子(影響力)學(xué)科排名
書目名稱Data Science and Big Data Analytics網(wǎng)絡(luò)公開度
書目名稱Data Science and Big Data Analytics網(wǎng)絡(luò)公開度學(xué)科排名
書目名稱Data Science and Big Data Analytics被引頻次
書目名稱Data Science and Big Data Analytics被引頻次學(xué)科排名
書目名稱Data Science and Big Data Analytics年度引用
書目名稱Data Science and Big Data Analytics年度引用學(xué)科排名
書目名稱Data Science and Big Data Analytics讀者反饋
書目名稱Data Science and Big Data Analytics讀者反饋學(xué)科排名
作者: Minutes 時(shí)間: 2025-3-21 21:30
Brian Sherwood Jones,Jonathan Earthylic and private sector banks in Rajasthan (India). In Initial Analysis, the prediction is made by the regression model and in the second phase normalized importance of four predictors was using through neural networks particularly Artificial Neural Network (ANN). The findings are helpful for decisio作者: 呼吸 時(shí)間: 2025-3-22 02:22 作者: Liability 時(shí)間: 2025-3-22 08:01
Composing Model-Based Analysis Toolsonal codes is the main objective of this research work with large free distance, so more errors can be detected and corrected. Data and information sent over the channel are secured by the error detection and correction code for storage as well as recover even in the presence of noise. Ternary compu作者: Ambiguous 時(shí)間: 2025-3-22 10:27
Composing Model-Based Analysis Toolsn used SuperTML (tabular machine learning) and CNN models to predict water potability efficiently. Data are collected and pre-processing is done using SMOTE analysis. It involves projection of features into two-dimensional embeddings that resemble images for every input of processed data, and the re作者: 貪心 時(shí)間: 2025-3-22 15:38
https://doi.org/10.1007/978-1-4419-7148-7concentrates on minimizing the cyber-attacks through double encryption of file when uploaded in cloud. The experimental results prove that the proposed method has less computational time and minimized false positive rate when compared to the base schemes.作者: 貪心 時(shí)間: 2025-3-22 17:17 作者: Arb853 時(shí)間: 2025-3-22 21:22 作者: 光明正大 時(shí)間: 2025-3-23 03:16 作者: 持續(xù) 時(shí)間: 2025-3-23 06:26
Prediction of Customer Satisfaction in E-banking Services Through Neural Network Approach,lic and private sector banks in Rajasthan (India). In Initial Analysis, the prediction is made by the regression model and in the second phase normalized importance of four predictors was using through neural networks particularly Artificial Neural Network (ANN). The findings are helpful for decisio作者: Estrogen 時(shí)間: 2025-3-23 13:34
Analysis on Prediction of Crop Diseases Using TensorFlow with Keras and OpenCV Technique of Deep Lee of disease. Deep learning techniques are used in the context of categorizing plant diseases. Dataset of diseased and healthy crops is used. Leaf images of diseased crop are infused as training set in a deep learning model. TensorFlow with keras and OpenCV are used for prediction of crop disease. O作者: adumbrate 時(shí)間: 2025-3-23 16:01 作者: 招致 時(shí)間: 2025-3-23 19:40
Improving the Efficiency of Water Quality Prediction Using the SuperTML Approach in Machine Learninn used SuperTML (tabular machine learning) and CNN models to predict water potability efficiently. Data are collected and pre-processing is done using SMOTE analysis. It involves projection of features into two-dimensional embeddings that resemble images for every input of processed data, and the re作者: 清唱?jiǎng)?nbsp; 時(shí)間: 2025-3-24 00:45 作者: Allege 時(shí)間: 2025-3-24 04:22 作者: 滴注 時(shí)間: 2025-3-24 08:54 作者: 大廳 時(shí)間: 2025-3-24 13:33
Artificial Intelligence in Nanotechnology,es can be processed using machine learning algorithms, making it possible to analyze nanoscale structures and properties more quickly and effectively. In this paper, the current state of AI in nanotechnology and its applications in various areas are reviewed. We also discuss the challenges and oppor作者: 公理 時(shí)間: 2025-3-24 16:53
Durgesh Mishra,Xin She Yang,Dharm Singh JatPresents research works in the field of data science and big data analytics.Provides original works presented at IDBA 2023 held in Indore, India.Serves as a reference for researchers and practitioners作者: dagger 時(shí)間: 2025-3-24 22:21
Data-Intensive Researchhttp://image.papertrans.cn/d/image/263084.jpg作者: dictator 時(shí)間: 2025-3-25 00:27
https://doi.org/10.1007/978-981-99-9179-2Data Science; Big Data; Machine Learning; Analytics for Social Networks; Knowledge representation; Comput作者: constitutional 時(shí)間: 2025-3-25 04:41 作者: intolerance 時(shí)間: 2025-3-25 08:50
Data Science and Big Data Analytics978-981-99-9179-2Series ISSN 2731-555X Series E-ISSN 2731-5568 作者: packet 時(shí)間: 2025-3-25 11:48 作者: propose 時(shí)間: 2025-3-25 19:04 作者: Little 時(shí)間: 2025-3-25 23:50 作者: myopia 時(shí)間: 2025-3-26 00:58 作者: Obliterate 時(shí)間: 2025-3-26 04:57 作者: Subdue 時(shí)間: 2025-3-26 11:11
https://doi.org/10.1007/978-1-4471-0173-4 is difficult to extract discriminating visual representations for gender classification, especially with faces. Gender classification is the process of determining a person’s gender based on their appearance. Automatic gender classification is gaining popularity due to the fact that genders contain作者: 對(duì)手 時(shí)間: 2025-3-26 16:15
Mart Lubbers,Pieter Koopman,Rinus Plasmeijer agriculture resulting in significant yield losses. Prediction of crop diseases can be important for agriculture field, as it can help farmers take preventive measures to protect crops and ensure a good yield. There are various methods that can be used to predict crop diseases, such as examining the作者: 合并 時(shí)間: 2025-3-26 19:12 作者: 環(huán)形 時(shí)間: 2025-3-26 23:59 作者: Ebct207 時(shí)間: 2025-3-27 05:04
https://doi.org/10.1007/978-1-4419-7148-7doop and Map Reduce are helping to store and handle this large volume of data. However, the storage and security are major concerns. Data redundancy is a common problem in cloud and big data. De-duplication methods are commonly used to improve the efficiency of storage in cloud and can save network 作者: 否認(rèn) 時(shí)間: 2025-3-27 09:12 作者: 果核 時(shí)間: 2025-3-27 13:05 作者: 最低點(diǎn) 時(shí)間: 2025-3-27 14:09 作者: vector 時(shí)間: 2025-3-27 20:03
Monotonic Strength and Fractureictions, environmental monitoring and water shortage. In this work, support vector regression and decision tree techniques have been applied on the given datasets. The data used in this experiment is classified into two different parts: soil moisture data and meteorological data. The data is collect作者: 眨眼 時(shí)間: 2025-3-28 00:22
Monotonic Strength and Fracturepparel. The empirical study looks at how customer satisfaction, security, reliability, convenience, trust, functionality, and behavioral intention toward online commerce interact. Security, reliability, convenience, trust, and functionality were used to gauge the quality of the service. Behavioral i作者: 符合規(guī)定 時(shí)間: 2025-3-28 04:57 作者: 性別 時(shí)間: 2025-3-28 08:29
Materials Research and Engineeringopment life cycle. Deep learning (DL), machine learning (ML), and all forms of data mining are used in the process of predicting software faults. First, we provide a brief introduction to the fundamentals of ML-based software defect prediction. The objective of software fault prediction is to identi作者: 外面 時(shí)間: 2025-3-28 13:52
Strength, Fracture, Fatigue, and Designd materials research. The integration of artificial intelligence (AI) into nanotechnology has created a new area of research and innovation known as AI-nanotechnology. This integration has resulted in significant advancements in the field of nanotechnology, including the development of new materials作者: MUMP 時(shí)間: 2025-3-28 16:04
Strength, Fracture, Fatigue, and Designl consumption over the past century has altered global weather patterns. There are differences in the chemical make-up, reaction properties, emission, disintegration time, and range of diffusion between carbon monoxide (CO), sulphur dioxide (SO.), nitrogen oxides (NO), volatile organic compounds (VO作者: 侵略 時(shí)間: 2025-3-28 21:30
Analyzing the Role of Social Influence in Adoption of Technology for Student Assessment in Indian Mhe Unified Theory of Acceptance and Use of Technology model. In this study, a quantitative approach is employed, and a survey was conducted to gather perceptions of stakeholders from management institutions and business schools across the country. The results of a PLS-SEM analysis indicate that soci作者: 不能妥協(xié) 時(shí)間: 2025-3-29 02:02
Plastic and Non-plastic Waste Classification Using Machine Learning Techniques,ategorization and separation into different components is very import for the waste recycling and disposal. Typically, waste segregation is manual activity and to carry out this operation requires lot of efforts. This makes scaling only feasible for long-term monitoring across several sites. To addr作者: META 時(shí)間: 2025-3-29 05:42 作者: 一罵死割除 時(shí)間: 2025-3-29 09:33
Role of AI and Machine Learning in Mental Healthcare, for AI technologies. This study tries to summarize findings from earlier systematic studies on the efficacy of AI models in detecting mental illnesses. It examines AI chatbots as they are offered through Smartphone Mental Health Applications (SMHApps), with a focus on potential societal effects. Ad作者: heterogeneous 時(shí)間: 2025-3-29 13:55 作者: 新星 時(shí)間: 2025-3-29 19:35
Human Gender Classification of Males and Females in a Crowd Using Deep Learning Techniques, is difficult to extract discriminating visual representations for gender classification, especially with faces. Gender classification is the process of determining a person’s gender based on their appearance. Automatic gender classification is gaining popularity due to the fact that genders contain作者: Mhc-Molecule 時(shí)間: 2025-3-29 19:57
Analysis on Prediction of Crop Diseases Using TensorFlow with Keras and OpenCV Technique of Deep Le agriculture resulting in significant yield losses. Prediction of crop diseases can be important for agriculture field, as it can help farmers take preventive measures to protect crops and ensure a good yield. There are various methods that can be used to predict crop diseases, such as examining the作者: dissolution 時(shí)間: 2025-3-30 02:40
Design of Convolutional Encoder for Multivalued Logic,ic is an elementary set of multivalued logic. The ternary number system has its base as 3. Three symbols which are used by ternary logic are 0, 1, and 2. The opportunity to the cryptographer given by ternary computing introduces new ciphering methods based on hardware primitives which uses trits bas作者: 萬神殿 時(shí)間: 2025-3-30 06:42
Improving the Efficiency of Water Quality Prediction Using the SuperTML Approach in Machine Learnindicting the potability of water is more practical for water management, pollution control, and cutting off the threat of water-related diseases. Machine learning (Al-Adhaileh and Alsaade in Journal on Sustainability 13(8), 2021, [.])–(Zhang et al. in Expo Health 12:487–500, 2020, [.]) has widely dev作者: 具體 時(shí)間: 2025-3-30 10:43 作者: 物質(zhì) 時(shí)間: 2025-3-30 15:34 作者: Barter 時(shí)間: 2025-3-30 19:44
Performance Evaluation of LiCi-2 Ultra-lightweight Block Cipher, of eavesdropping because these devices might exchange sensitive information. An emerging field called lightweight encryption can protect these gadgets’ data from eavesdroppers. LiCi-2 is described as an uncertified, extremely resource-efficient cipher in literature. This study’s goal is to assess t作者: 存在主義 時(shí)間: 2025-3-30 23:46
A Comparative Study: Fog and Cloud Computing,is, the criteria and traits of fog computing and clustered fog computing are expressed quantitatively. As the number of connected devices grows, cloud-based platforms that offer real-time, low latency services prove to be a problem. In a suggested method study of clustering in fog nodes using IoT or作者: 感激小女 時(shí)間: 2025-3-31 04:22
Soil Moisture Prediction Using Machine Learning Techniques,ictions, environmental monitoring and water shortage. In this work, support vector regression and decision tree techniques have been applied on the given datasets. The data used in this experiment is classified into two different parts: soil moisture data and meteorological data. The data is collect作者: flex336 時(shí)間: 2025-3-31 06:48 作者: fixed-joint 時(shí)間: 2025-3-31 10:03 作者: 誘惑 時(shí)間: 2025-3-31 16:56
Predicting Software Faults Using Machine Learning Techniques: An Empirical Study,opment life cycle. Deep learning (DL), machine learning (ML), and all forms of data mining are used in the process of predicting software faults. First, we provide a brief introduction to the fundamentals of ML-based software defect prediction. The objective of software fault prediction is to identi作者: 慢慢沖刷 時(shí)間: 2025-3-31 17:33 作者: 膝蓋 時(shí)間: 2025-3-31 21:48 作者: archaeology 時(shí)間: 2025-4-1 05:31
