標(biāo)題: Titlebook: Data Management, Analytics and Innovation; Proceedings of ICDMA Saptarsi Goswami,Inderjit Singh Barara,Alfred M. B Conference proceedings 2 [打印本頁] 作者: invigorating 時間: 2025-3-21 16:55
書目名稱Data Management, Analytics and Innovation影響因子(影響力)
書目名稱Data Management, Analytics and Innovation影響因子(影響力)學(xué)科排名
書目名稱Data Management, Analytics and Innovation網(wǎng)絡(luò)公開度
書目名稱Data Management, Analytics and Innovation網(wǎng)絡(luò)公開度學(xué)科排名
書目名稱Data Management, Analytics and Innovation被引頻次
書目名稱Data Management, Analytics and Innovation被引頻次學(xué)科排名
書目名稱Data Management, Analytics and Innovation年度引用
書目名稱Data Management, Analytics and Innovation年度引用學(xué)科排名
書目名稱Data Management, Analytics and Innovation讀者反饋
書目名稱Data Management, Analytics and Innovation讀者反饋學(xué)科排名
作者: Commodious 時間: 2025-3-21 21:46
Automated Structured Data Extraction from Scanned Document Imagestructured format. The solution is driven by a configuration file, which can help in fine-tuning different processes to improve extracted data. The solution generates an XML for the scanned document which can be used further for storing and processing the data present in paper-based documents by diff作者: 制造 時間: 2025-3-22 02:46 作者: 灌溉 時間: 2025-3-22 07:28 作者: Itinerant 時間: 2025-3-22 11:36
Hypothesis Testing of Tweet Text Using NLPs. Tweets are labeled as “believer” or “denier” for each country, and a hypothesis is being proved based on the statement made by rich and poor countries. The statistical result also shows that there exists a positive correlation between the GDP growth rate and the number of deniers and believers in作者: ectropion 時間: 2025-3-22 13:21 作者: ectropion 時間: 2025-3-22 20:04
Ontology-Driven Scientific Literature Classification Using Clustering and Self-supervised Learningaper, we propose an ontology-driven classification technique based on zero-shot learning in conjunction with agglomerative clustering to automatically label a scientific literature dataset related to CE and CS. We further study and compare the effectiveness of multiple text classifiers such as logis作者: ANN 時間: 2025-3-23 00:49
Modeling and Forecasting Tuberculosis Cases Using Machine Learning and Deep Learning Approaches: A C CNN-LSTM Hybrid and MLP networks achieved the lowest forecasting errors compared to the other models and were chosen for forecasting pulmonary negative, positive, and TB incidence cases from 2020 to 2029. The forecasting results revealed that there would be 117.861557 new pulmonary negative inciden作者: Vsd168 時間: 2025-3-23 02:32 作者: 變化 時間: 2025-3-23 06:25
Support Vector Machines and Random Forest Classification Models for Identification of Stability in Eon modes. We also used the Synthetic Minority Oversampling Technique (SMOTE) to handle data imbalance. Our simulation results indicate that prediction of stability/instability classes for different process parameters can be achieved with high degree of confidence with robust machine learning models.作者: Clumsy 時間: 2025-3-23 11:40 作者: byline 時間: 2025-3-23 17:35
Augmented Feature Generation Using Maximum Mutual Information Minimum Correlationking accuracy. The model performance is found to be effective even using reduced feature sub-set. Also, it has been found apart from excelling in classification accuracy, the model has been successful in maintaining the range of the metric irrespective of the input size.作者: 態(tài)度暖昧 時間: 2025-3-23 20:46 作者: 售穴 時間: 2025-3-23 23:07
Towards Efficient Edge Computing Through Adoption of Reinforcement Learning Strategies: A Reviewake the EC framework intelligent. Here we lay a good understanding of how RL has achieved noteworthy success to solve some of the pressing EC challenges, given that EC finds its use in settings of autonomous driving, content delivery, smart grid, healthcare applications and so on.作者: cathartic 時間: 2025-3-24 06:15
2367-4512 contributions by scientists from around the globe, the book is mainly intended for a professional audience of researchers and practitioners in academia and industry..978-981-19-2602-0978-981-19-2600-6Series ISSN 2367-4512 Series E-ISSN 2367-4520 作者: overhaul 時間: 2025-3-24 08:04 作者: languid 時間: 2025-3-24 12:41
Lessons Learned and a Positive Look Aheadtructured format. The solution is driven by a configuration file, which can help in fine-tuning different processes to improve extracted data. The solution generates an XML for the scanned document which can be used further for storing and processing the data present in paper-based documents by diff作者: 枯燥 時間: 2025-3-24 15:06
Lessons Learned and a Positive Look Aheadm Facebook. Since the posts or comments that exhibit negative polarity are more actionable than the positive ones, the prime aim of this paper is to identify the negative sentiments without being misclassified and introduces a new technique to achieve almost 100% specificity by tuning the class weig作者: 懶洋洋 時間: 2025-3-24 19:43
https://doi.org/10.1007/978-3-662-52952-2 android operating system. Malware writers attracted with the increasing use of smart phones and android OS. Hence there is a need to study existing malware detection system for android OS. This paper gives the detailed review on android malware detection system.作者: 營養(yǎng) 時間: 2025-3-25 02:23
https://doi.org/10.1007/978-3-662-52952-2s. Tweets are labeled as “believer” or “denier” for each country, and a hypothesis is being proved based on the statement made by rich and poor countries. The statistical result also shows that there exists a positive correlation between the GDP growth rate and the number of deniers and believers in作者: 形上升才刺激 時間: 2025-3-25 07:19
Vijay K. Maker,Edgar D. Guzman-Arrietastudy of different machine learning techniques for detecting breast cancer. It also presents an auto-encoder model that performs breast cancer detection in an unsupervised manner. It attempts to identify a compact representation of features that are strongly related to breast cancer. The techniques 作者: HOWL 時間: 2025-3-25 08:14 作者: Nmda-Receptor 時間: 2025-3-25 14:36
https://doi.org/10.1007/978-1-4939-1850-8 CNN-LSTM Hybrid and MLP networks achieved the lowest forecasting errors compared to the other models and were chosen for forecasting pulmonary negative, positive, and TB incidence cases from 2020 to 2029. The forecasting results revealed that there would be 117.861557 new pulmonary negative inciden作者: Consensus 時間: 2025-3-25 18:06
Cognitive Pearls in General Surgeryty is not bounded to a specific area but the entire field. Invading animals do not get adjusted to the ultrasonic frequency and thereby the repelling capacity is efficient. Generated ultrasonic frequency will not get attenuated and is directed to targeted animals as directional speakers are used. Si作者: 紀(jì)念 時間: 2025-3-25 22:07 作者: 內(nèi)向者 時間: 2025-3-26 02:35 作者: Aggregate 時間: 2025-3-26 06:27
Cognitive Pearls in General Surgeryking accuracy. The model performance is found to be effective even using reduced feature sub-set. Also, it has been found apart from excelling in classification accuracy, the model has been successful in maintaining the range of the metric irrespective of the input size.作者: modifier 時間: 2025-3-26 10:20
Artificial Intelligence Models of Emotionuture values. The results show an alarming rate of increase in the future and consequently the paper discusses the mitigation methods and reforms at governmental levels. The geographical potential of Indian states for harnessing energy from cleaner sources has also been discussed.作者: 實施生效 時間: 2025-3-26 12:50 作者: 無能的人 時間: 2025-3-26 19:29
Saptarsi Goswami,Inderjit Singh Barara,Alfred M. BPresents research works in the field of data management, analytics, and innovation.Provides results of ICDMAI 2022 held online.Serves as a reference for researchers and practitioners in academia and i作者: 相信 時間: 2025-3-26 21:53 作者: pancreas 時間: 2025-3-27 04:28 作者: 放逐 時間: 2025-3-27 07:57 作者: 客觀 時間: 2025-3-27 12:47 作者: FUSE 時間: 2025-3-27 15:04 作者: 類似思想 時間: 2025-3-27 18:23
Tony J. Cunningham,Jessica D. Payne systems is still under question as many of these systems fail to meet expectations. Trustworthiness of artificial intelligence based systems depend on many factors. This paper analyzes human trust lifecycle and proposes an end to end agile and automated machine learning framework for automation of 作者: opinionated 時間: 2025-3-28 00:54
Lessons Learned and a Positive Look Ahead “Data”. This is raising the need for the digitization of documents to fulfill the need for data for driving the digital transformation throughout sectors. Digitization requires the extraction of a huge amount of data from paper-based documents. Automating data extraction from paper-based documents 作者: Retrieval 時間: 2025-3-28 03:40
Lessons Learned and a Positive Look Aheadlanguage like Bengali. The posts or comments collected from the social networking sites are needed to be analysed for identifying the positive or negative public sentiments regarding the products or services of any organization in order to improve their services. Over the last few years, research on作者: 甜瓜 時間: 2025-3-28 09:47
https://doi.org/10.1007/978-3-662-52952-2dle lot of sensitive information hence malware writers try to exploit vulnerabilities to gain access. Android is one of the most popular OS for mobile device. The open source nature of Android Operating System has attracted users because of open source nature and large number of users it has become 作者: 珍奇 時間: 2025-3-28 12:59
https://doi.org/10.1007/978-3-662-52952-2 categorizations such as favor or denial from a piece of text sentences or corpus. Various researchers keep on working in these areas. However, in this research work, the relations between target entities (say: climate, population) along with the author’s stance and the country’s economic growth lev作者: 創(chuàng)造性 時間: 2025-3-28 17:26
https://doi.org/10.1007/978-3-662-52952-2Therefore correct prediction of severe thunderstorm has important significance. Here in this study Support Vector Machine (SVM) has been applied on cloud imageries for the prediction purpose. Colour is one of the most important features of image. Here colour has been considered as only feature for t作者: Blanch 時間: 2025-3-28 22:01 作者: jeopardize 時間: 2025-3-28 23:37
Cognitive Pearls in General Surgeryo are interested in exploring research publication records based on standard scientific categories. This urges the need for a context-aware, automatic classification of text documents into standard scientific categories. Document classification is a significant application of supervised learning whi作者: Foreknowledge 時間: 2025-3-29 04:44
https://doi.org/10.1007/978-1-4939-1850-8ments and health policymakers make appropriate decisions and impose restrictions to reduce the prevalence of tuberculosis, efficient forecasting methods are required to be applied. Machine learning and deep learning techniques are commonly used due to their abilities in producing accurate results. I作者: 等級的上升 時間: 2025-3-29 10:28 作者: 補充 時間: 2025-3-29 11:57
Peritoneum, Omentum, and Internal Hernias,ant to identify input process parameters for maintaining stable and continuous trouble-free operation. A priori modelling and solution of governing phenomenological equations to achieve this requires tedious computational efforts. As an alternative in this work we have employed Machine learning to b作者: Countermand 時間: 2025-3-29 17:08
https://doi.org/10.1007/978-1-4939-1850-8ental change. A significant supporter of these emanations is the transport sector. This sector alone is assessed to represent about 16.2% of the absolute worldwide CO. outflows. The focal point of this paper is to examine and audit diverse AI and ML techniques that can be utilized to decrease these 作者: 博愛家 時間: 2025-3-29 22:41 作者: thyroid-hormone 時間: 2025-3-30 02:29
Artificial Intelligence Models of Emotionry. Along with strengthening and boosting the economies worldwide, this sector is one of the major contributors to climate change. The amount of emissions generated by the energy sector have accelerated this disastrous change. India is advancing as a developing nation with incredible speeds and its 作者: 范圍廣 時間: 2025-3-30 05:21 作者: 帶來 時間: 2025-3-30 11:30 作者: Modify 時間: 2025-3-30 15:14 作者: orient 時間: 2025-3-30 20:26
Recognizing Similar Relationships Within Ontology to Fine Tune Ontologyof knowledge acquisition. Ontology learning process involves identification of concepts and relationship between these concepts. Many approaches based on machine learning and deep learning are used to learn ontology. Automated Ontology based on machine learning and deep learning efficiently identifi作者: 使乳化 時間: 2025-3-30 22:21
Object Detection Using Peak, Balanced Division Point and Shape Based Featuresject, we can detect and recognize an object. In this work, we firstly detect and count the number of objects available within an image. Each object is cropped and resized, and boundary values of an object are detected, which further helps extract the relevant features of an object. The various featu作者: 天賦 時間: 2025-3-31 01:56 作者: 去世 時間: 2025-3-31 05:48 作者: 編輯才信任 時間: 2025-3-31 10:37 作者: Bravura 時間: 2025-3-31 15:56
Review on Android Malware Detection Systemdle lot of sensitive information hence malware writers try to exploit vulnerabilities to gain access. Android is one of the most popular OS for mobile device. The open source nature of Android Operating System has attracted users because of open source nature and large number of users it has become 作者: Congregate 時間: 2025-3-31 21:29
Hypothesis Testing of Tweet Text Using NLP categorizations such as favor or denial from a piece of text sentences or corpus. Various researchers keep on working in these areas. However, in this research work, the relations between target entities (say: climate, population) along with the author’s stance and the country’s economic growth lev作者: 忘恩負(fù)義的人 時間: 2025-3-31 22:52 作者: inquisitive 時間: 2025-4-1 03:30 作者: sebaceous-gland 時間: 2025-4-1 06:15
