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標(biāo)題: Titlebook: Microbial Data Intelligence and Computational Techniques for Sustainable Computing; Aditya Khamparia,Babita Pandey,Deepak Gupta Book 2024 [打印本頁]

作者: 遠(yuǎn)見    時間: 2025-3-21 16:10
書目名稱Microbial Data Intelligence and Computational Techniques for Sustainable Computing影響因子(影響力)




書目名稱Microbial Data Intelligence and Computational Techniques for Sustainable Computing影響因子(影響力)學(xué)科排名




書目名稱Microbial Data Intelligence and Computational Techniques for Sustainable Computing網(wǎng)絡(luò)公開度




書目名稱Microbial Data Intelligence and Computational Techniques for Sustainable Computing網(wǎng)絡(luò)公開度學(xué)科排名




書目名稱Microbial Data Intelligence and Computational Techniques for Sustainable Computing被引頻次




書目名稱Microbial Data Intelligence and Computational Techniques for Sustainable Computing被引頻次學(xué)科排名




書目名稱Microbial Data Intelligence and Computational Techniques for Sustainable Computing年度引用




書目名稱Microbial Data Intelligence and Computational Techniques for Sustainable Computing年度引用學(xué)科排名




書目名稱Microbial Data Intelligence and Computational Techniques for Sustainable Computing讀者反饋




書目名稱Microbial Data Intelligence and Computational Techniques for Sustainable Computing讀者反饋學(xué)科排名





作者: Perceive    時間: 2025-3-21 23:25

作者: 輪流    時間: 2025-3-22 03:52
Book 2024ain focus of this book is to provide an insight on building smart sustainable solutions for microbial technology using intelligent computational techniques...Microbes are ubiquitous in nature, and their interactions among each other are important for colonizing diverse habitats. The core idea of sus
作者: Esophagitis    時間: 2025-3-22 08:12

作者: Valves    時間: 2025-3-22 11:16
The Contribution of Artificial Intelligence to Drug Discovery: Current Progress and Prospects for tents and engineering drugs with heightened efficacy and reduced toxicity. The trajectory of AI in drug discovery appears promising. Its influence is poised to intensify, driving expedited drug discovery, refining the efficiency of the developmental journey, and hastening the availability of novel treatments for patients.
作者: patriot    時間: 2025-3-22 16:54

作者: 寬宏大量    時間: 2025-3-22 18:10

作者: 忘恩負(fù)義的人    時間: 2025-3-22 22:56
S. S. Ittannavar,B. P. Khot,Vibhor Kumar Vishnoi,Swati Shailesh Chandurkar,Harshal Mahajan clinicians, surgeons and researchers with an interest in kidney cancer. The volume reviews new data about risk factors for the disease, profiles the new staging system for renal cell carcinoma (RCC), highlights our current understanding of familial syndromes of RCC and their molecular genetics, and
作者: Ossification    時間: 2025-3-23 01:29

作者: 吞噬    時間: 2025-3-23 09:05
The Contribution of Artificial Intelligence to Drug Discovery: Current Progress and Prospects for tlerate the pinpointing of new drugs and improve the effectiveness and efficiency of the drug development process. Across various stages of drug discovery, AI methodologies are proving instrumental:.While AI’s integration into drug discovery remains relatively nascent, it holds the potential to revol
作者: largesse    時間: 2025-3-23 10:46

作者: 鳴叫    時間: 2025-3-23 17:55
Computer Vision-based Remote Care of Microbiological Data Analysis,anism identification, classification, quantification, tracking, and presence detection in images. By employing this technology, healthcare providers can benefit from an improved and more efficient means to analyze microbiological data, leading to enhanced diagnosis, treatment, and prevention of infe
作者: Interferons    時間: 2025-3-23 22:05

作者: 教唆    時間: 2025-3-23 22:34

作者: CLASH    時間: 2025-3-24 06:07

作者: HARP    時間: 2025-3-24 08:03

作者: 滋養(yǎng)    時間: 2025-3-24 12:35
An Exploratory Analysis of Machine Intelligence-enabled Plant Diseases Assessment,ds. One of the significant effects of low crop yields is diseases caused by bacteria, fungi and viruses. This can be prevented and controlled by applying plant disease detection approaches. Machine learning techniques are used to identify plant diseases, mainly because they apply the information its
作者: JUST    時間: 2025-3-24 15:26

作者: Antarctic    時間: 2025-3-24 21:24

作者: tic-douloureux    時間: 2025-3-25 02:38

作者: 皺痕    時間: 2025-3-25 04:42

作者: misshapen    時間: 2025-3-25 11:13

作者: 禁止,切斷    時間: 2025-3-25 15:43

作者: 把手    時間: 2025-3-25 19:34

作者: Lacunar-Stroke    時間: 2025-3-25 23:22

作者: exorbitant    時間: 2025-3-26 00:42

作者: epicondylitis    時間: 2025-3-26 05:27

作者: acrimony    時間: 2025-3-26 09:16

作者: giggle    時間: 2025-3-26 14:17

作者: NAG    時間: 2025-3-26 18:58
2512-1901 ,plant and environmental scientist, and those interested in environment stewardship around the world. The book also serves as an advanced textbook material for undergraduate and graduate students of computer sc978-981-99-9623-0978-981-99-9621-6Series ISSN 2512-1901 Series E-ISSN 2512-1898
作者: Overstate    時間: 2025-3-26 21:39
Umesh Gupta,Ayushman Pranav,Anvi Kohli,Sukanta Ghosh,Divya Singh
作者: 不怕任性    時間: 2025-3-27 03:16
Manoj Ram Tammina,K. Sumana,Pavitar Parkash Singh,T. R. Vijaya Lakshmi,Sagar Dhanraj Pande
作者: 前兆    時間: 2025-3-27 05:46

作者: 圣人    時間: 2025-3-27 12:20
Ashay Rokade,Manwinder Singh,Anudeep Goraya,Balraj Singh
作者: GRIN    時間: 2025-3-27 17:12

作者: 許可    時間: 2025-3-27 17:58
Syed Muzammil Munawar,Dhandayuthabani Rajendiran,Khaleel Basha Sabjan
作者: CRUE    時間: 2025-3-28 00:19

作者: fledged    時間: 2025-3-28 04:08
Muhammad Naveed,Muhammad Majeed,Khizra Jabeen,Nimra Hanif,Rida Naveed,Sania Saleem,Nida Khan
作者: IRS    時間: 2025-3-28 08:58
Muhammad Naveed,Nafeesa Zahid,Ibtihaj Fatima,Ayesha Saleem,Muhammad Majeed,Amina Abid,Khushbakht Jav
作者: 配偶    時間: 2025-3-28 12:36

作者: 葡萄糖    時間: 2025-3-28 16:39

作者: 類人猿    時間: 2025-3-28 22:48
Analytics and Decision-making Model Using Machine Learning for Internet of Things-based Greenhouse rameters. Cloud layer, fog layer, edge layer, and sensor layer are four important parts of the proposed approach. The data needed for the sensor layer of the analytical model is collected using Internet of Things-based embedded system devices in two greenhouse facilities, with sensor parameters as i
作者: 朝圣者    時間: 2025-3-29 02:54
DistilBERT-based Text Classification for Automated Diagnosis of Mental Health Conditions,linary exploration into the gut?brain axis, we acknowledge the potential role of gut bacteria, the microbiome, and microorganisms in influencing mental health. Our research specifically focuses on three distinct mental health disorder conditions: anxiety, borderline personality disorder (BPD), and a
作者: 爭吵    時間: 2025-3-29 07:06
An Optimized Hybrid ARIMA-LSTM Model for Time Series Forecasting of Agricultural Production in Indi with an optimized hybrid model comprising characteristics of both models. The efficiency of the models was checked by using root mean square error (RMSE). The result was compared with other studies on hybrid models. It has been reported that the hybrid model is more appropriate in comparison to bot
作者: agnostic    時間: 2025-3-29 08:13

作者: 表臉    時間: 2025-3-29 12:06
Deep Learning-Assisted Techniques for Detection and Prediction of Colorectal Cancer From Medical Imive choice for fast and effective detection, segmentation, and prediction of diseases through image analysis. This technology has the potential to assist and empower medical professionals in making timely and informed decisions. Deep learning has proven to be highly effective when ample high-quality
作者: 勾引    時間: 2025-3-29 16:01

作者: 花爭吵    時間: 2025-3-29 20:26
Plant Diseases Diagnosis with Artificial Intelligence (AI),iagnosis. In the realm of computer vision, deep learning has also become increasingly important for providing improved performance results for identifying plant diseases. There has been significant progress in the machine learning and computer vision fields as a result of the application of deep lea
作者: Occupation    時間: 2025-3-30 01:26
Analyzing the Frontier of AI-Based Plant Disease Detection: Insights and Perspectives,l professionals, and policymakers in their search for disease-control strategies that are both more successful and more permanent. This study not only identifies the AI methods that hold the most promise for PDD but also brings to light some of the challenges and problems that remain unresolved that
作者: Bravado    時間: 2025-3-30 05:55

作者: 健談    時間: 2025-3-30 10:25
Sustainable AI-Driven Applications for Plant Care and Treatment,. Plant disease is one of the most important and critical challenges that affects the agriculture and its trading system. Plant diseases can adversely affect the growth of plants and, in severe cases, might lead to the plant death. AI-driven technologies have the capability not only to detect the di
作者: ambivalence    時間: 2025-3-30 15:23
Use Cases and Future Aspects of Intelligent Techniques in Microbial Data Analysis,resented, illustrating the applications of intelligent techniques in microbial research. These include predicting disease risk through gut microbiome analysis, antibiotic resistance prediction, environmental microbiology for ecosystem management, bioprocess optimization in biotechnology, and AI-powe
作者: SNEER    時間: 2025-3-30 18:39

作者: Emasculate    時間: 2025-3-30 23:26

作者: ACME    時間: 2025-3-31 01:45

作者: 性冷淡    時間: 2025-3-31 05:23
S. S. Ittannavar,B. P. Khot,Vibhor Kumar Vishnoi,Swati Shailesh Chandurkar,Harshal Mahajanvolutionized management. The several landmark phase III targeted therapy trials published in the last few years are placed in context with respect to current management. Integration of surgery and systemic therapy through cytoreductive and consolidative approaches has yielded provocative data that p
作者: 存在主義    時間: 2025-3-31 10:57
Khalil Ahmed,Mithilesh Kumar Dubey,Sudha Dubeyvolutionized management. The several landmark phase III targeted therapy trials published in the last few years are placed in context with respect to current management. Integration of surgery and systemic therapy through cytoreductive and consolidative approaches has yielded provocative data that p
作者: 急急忙忙    時間: 2025-3-31 15:40

作者: 多節(jié)    時間: 2025-3-31 19:16

作者: 容易做    時間: 2025-4-1 00:31

作者: BLANC    時間: 2025-4-1 04:25
https://doi.org/10.1007/978-981-99-9621-6Microbial data; Plant Microbe; Computational techniques; Human Microbiome; Data Mining
作者: arthrodesis    時間: 2025-4-1 08:23
978-981-99-9623-0The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapor
作者: Misgiving    時間: 2025-4-1 10:13
Microbial Data Intelligence and Computational Techniques for Sustainable Computing978-981-99-9621-6Series ISSN 2512-1901 Series E-ISSN 2512-1898
作者: 蜈蚣    時間: 2025-4-1 18:22

作者: incredulity    時間: 2025-4-1 21:44

作者: 保留    時間: 2025-4-2 00:24
Book 2000This book is dedicated to the implications of the new regionalism for global security and development. The fourth in the five-volume New Regionalism Series, it features contributions from the UNU/WIDER project on new regionalism.
作者: 飾帶    時間: 2025-4-2 03:35
nflict, open communication characteristics, and innovative organization culture. The external orientation which is the common feature of innovative organization culture and innovative organization structure brings along the open innovation which is the inevitable approach of our present day. By acce




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