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Relevant bibliographies by topics / "Spyder" tool

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Journal articles

Academic literature on the topic '"Spyder" tool'

Author: Grafiati

Published: 4 June 2025

Last updated: 15 July 2025

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Journal articles on the topic ""Spyder" tool"

1

Zhang, Han, and Yao Wu. "The Analysis and Implementation of Film Decision-Making Based on Python." Scientific Programming 2022 (September 23, 2022): 1–7. http://dx.doi.org/10.1155/2022/4131316.

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With the growing development of the era of big data, data acquisition and analysis have become hot spots, and Python-based crawler technology is one of the most widely used tools in data analysis work at present. In this paper, we apply Python crawler key technology to acquire data of movie list and hot movies on Cat’s Eye movie network, analyze data based on Python development environment Spyder, use the Numpy system to store and process large data, Chinese Jieba word separation tool to crawl data for word separation text processing, Snownlp library to process text sentiment, and finally by t

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2

Vidit, Kanungo, and B. Tulasi. "Data visualization and toss related analysis of IPL teams and batsmen performances." International Journal of Electrical and Computer Engineering (IJECE) 9, no. 5 (2019): 4423–32. https://doi.org/10.11591/ijece.v9i5.pp4423-4432.

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Sports play a very significant role in the development of the human persona. Getting involved in games like Cricket and other various sports help us to build character, discipline, confidence and physical fitness. Indian Premier League, IPL provides the most successful form of cricket as it gives opportunities to young and talented players to show case their talents on various pitch. Decision-makers are the utmost customers for all fundamentals in the sports analytics framework. Sports analytics has been a smash hit in shaping success for many players and teams in various sports. Sports analyt

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3

Harshpreet Kaur, Golmei Shaheamlung,. "The Diagnosis of Chronic Liver Disease using Machine Learning Techniques." INFORMATION TECHNOLOGY IN INDUSTRY 9, no. 2 (2021): 554–64. http://dx.doi.org/10.17762/itii.v9i2.382.

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In the 21st-century, the issue of liver disease has been increasing all over the world. As per the latest survey report, liver disease death toll has been rise approximately 2 million per year worldwide. The overall percentage of death by liver disease is 3.5% worldwide. Chronic Liver disease is also considered to be one of the deadly diseases, so early detection and treatment can recover the disease easily. Due to rapid advancement in Artificial intelligence (AI), like various machine learning algorithms SVM, K-mean clustering, KNN, Random forest, Logistic regression, etc., This will improve

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4

Journal, IJSREM. "Apple Fruit Disease Detection for Hydroponic Plants Using Machine Learning and Image Processing." INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 07, no. 11 (2023): 1–11. http://dx.doi.org/10.55041/ijsrem27230.

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Agriculture played a major role in the economy of many developing countries. Apple falls under the commercial crops as a fruit that will be grown worldwide. In the whole growth cycle of apples, there are many types of apple diseases and pests, therefore, recognition and determination of these illnesses are essential. K-means Cluster segmentation is used to detect the diseases in the apple fruit. In the feature extraction method, the Threshold segmentation process is applied and extracts the pixels from the apple and predicts the disease present in apple fruit. The machine learning algorithm li

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5

Ahmad, Hafiz Farooq, Fatimah Mohammad Alhassan, Asrar Haque, and Sarah Shafqat. "A Secure Architecture for Interoperable Personal Health Records (PHR) Based on Blockchain and FHIR." Journal of Pioneering Medical Sciences 14, no. 2 (2025): 42–48. https://doi.org/10.47310/jpms2025140207.

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Personal Health Records (PHRs) would empower patients play active role for quality healthcare provision and access for routine checkup and self-care management. There is a need to recognize security, privacy and interoperability issues for successful design, implementation and adoption of PHR at a wider scale. However, it is one of the greatest challenges to achieve interoperability, security and privacy simultaneously in healthcare domain. Health Level Seven (HL7) international standards body is working to propose interoperability standards for healthcare information systems. However, privacy

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6

Zhang, Qian, Eric Nigel, Alvin Yu, et al. "Abstract 5560: KIR-based CAR design showed durable antitumor efficacy by altered internalization kinetics following persistent antigenic stimulation." Cancer Research 82, no. 12_Supplement (2022): 5560. http://dx.doi.org/10.1158/1538-7445.am2022-5560.

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Abstract Poor persistence of functional chimeric antigen receptor (CAR) T cells in the tumor microenvironment can limit the effectiveness of the antitumor immune response. We previously showed that T cells expressing a multichain CAR design that uses an activating killer immunoglobulin-like receptor (KIR) transmembrane (TM) and cytoplasmic domain co-expressed with the ITAM-containing adapter, DAP12 (KIR-CAR) are able to control large, pre-established tumors that cannot be controlled by 2nd generation CD3ζ-based CAR T cells. This improved function is associated with maintenance of KIR-CAR expre

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7

Abdullah, Azizol, Ali Nasser Ahmed Albaihani, Baharudin Osman, and Yahya Omar. "Detecting Wormhole Attack in Environmental Monitoring System for Agriculture using Deep Learning." Journal of Advanced Research in Applied Sciences and Engineering Technology 51, no. 2 (2024): 153–76. http://dx.doi.org/10.37934/araset.51.2.153176.

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The Internet of Things (IoT) is a rapidly growing field that connects various devices and systems to the internet, enabling them to communicate and share data. However, this increased connectivity also makes IoT networks vulnerable to various types of attacks, one of which is the wormhole attack. A wormhole attack is a type of security threat in which an attacker creates a tunnel between two or more nodes in an IoT network, allowing the attacker to intercept, modify or inject malicious packets into the network. This can lead to serious security issues such as unauthorized access, data leakage

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8

Devika, G., D. Ramesh, and Asha Gowda Karegowda. "Analysis of Binary and Discrete Grey Wolf Optimization Algorithms Applied for Enhancing Performance of Energy Efficient Low Energy Adaptive Clustering Hierarchy." Journal of Computational and Theoretical Nanoscience 17, no. 9 (2020): 3850–59. http://dx.doi.org/10.1166/jctn.2020.8974.

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Wireless sensor networks (WSN) are a yield of advancement in information technology and the requirement of large-scale communication infrastructures. Routing of data via selected paths is a critical task in WSN as process need to be carried on under resource constraint situations. This route identification problem can be better handled by employing appropriate heuristic bio-inspired computational intelligence optimization method. The most frequently applied routing is hierarchical routing algorithm is Low Energy Adaptive Clustering Hierarchy (LEACH) algorithm which has limitations in identifyi

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9

Dahiya, Anchal, and Pooja Mittal. "Evaluation of Data Mining Techniques and Its Fusion with IoT Enabled Smart Technologies for Effective Prediction of Available Parking Space." International journal of electrical and computer engineering systems 12, no. 4 (2021): 187–97. http://dx.doi.org/10.32985/ijeces.12.4.2.

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After experiencing the hard times of pandemic situations we learned that if we could have a smart system that can help us in automatic parking of the vehicles then it could be a great help to society. This idea motivated us to carry out this current work. Though, nowadays, in almost every application domain, IoT techniques are the buzzword. IoT techniques can also be used to achieve efficacy in predicting free available parking space in advance. But the biggest challenge with IoT techniques is that they generate numerous data, which makes its analysis intangible. It was realized that if IoT te

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Silva, Marcelo de Araújo, and Marcos Rodrigues Simas. "Um inventário dos 25 principais influencers evangélicos no Instagram e os principais temas abordados por cada um deles, segundo a Inteligência Artificial." TEOCON - Revista Teologia Contextual 1 (May 18, 2025): e025007. https://doi.org/10.59771/teocon.2025v1.e025007.

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This work aims to carry out an inventory of the 25 main evangelical infl uencers in Brazil and the main topics addressed by each of them, with the intention of understanding the relationship between infl uencers, followers and content presented with a special focus on Instagram. To collect data on the topics addressed by them, the Microsoft Copilot Artifi cial Intelligence tool was used, as well as data capture with the respective profi les of these infl uencers on Instagram. For data collection, the Microsoft Copilot Artifi cial Intelligence tool was used, as well as the capture of data with

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