![](bg7.png)
You, Zhen, Qinghe Zhang, Changjun Liu, Jiuzhou Song,
Ning Yang, and Ling Lian. 2019. “Integrated Analysis
of lncRNA and mRNA Repertoires in Marek’s Disease
Infected Spleens Identifies Genes Relevant to
Resistance.” BMC Genomics 20 (1): 1–15.
Zerem, Enver, and Jacob Bergsland. 2006. “Ultrasound
Guided Percutaneous Treatment for Splenic Abscesses:
The Significance in Treatment of Critically Ill
Patients.” World Journal of Gastroenterology: WJG 12
(45): 7341.
Boiy, Erik, and Marie-Francine Moens. 2008. “A Machine
Learning Approach to Sentiment Analysis in
Multilingual Web Texts.” Information Retrieval 12 (5):
526–58.
Chen, Hongbo, Changchun Li, Mingdi Fang, Mengjin Zhu,
Xinyun Li, Rui Zhou, Kui Li, and Shuhong Zhao. 2009.
“Understanding Haemophilus Parasuis Infection in
Porcine Spleen through a Transcriptomics Approach.”
BMC Genomics 10 (1): 1–18.
Darling, Samuel T. 1906. “A Protozoön General Infection
Producing Pseudotubercles in The Lungs and Focal
Necroses In The Liver, Spleen And Lymphnodes.”
JAMA: The Journal of the American Medical
Association XLVI (17): 1283–85.
Davies, J. M., R. Barnes, and D. Milligan. 2002. “Update
of Guidelines for the Prevention and Treatment of
Infection in Patients with an Absent or Dysfunctional
Spleen.” Clinical Medicine 2 (5): 440.
Dietterich, Thomas G. 2002. “Machine Learning for
Sequential Data: A Review.” Structural, Syntactic, and
Statistical Pattern Recognition, 15–30.
Frank, Eibe, Mark Hall, Geoffrey Holmes, Richard Kirkby,
Bernhard Pfahringer, Ian H. Witten, and Len Trigg.
2009. “Weka-A Machine Learning Workbench for Data
Mining.” Data Mining and Knowledge Discovery
Handbook, 1269–77.
Goh, G. D., S. L. Sing, and W. Y. Yeong. 2020. “A Review
on Machine Learning in 3D Printing: Applications,
Potential, and Challenges.” Artificial Intelligence
Review 54 (1): 63–94.
Gómez Vela, Francisco A., Federico Divina, and Miguel
García-Torres. 2021. Computational Methods for the
Analysis of Genomic Data and Biological Processes.
MDPI.
Grimaldi, David, Olivier Pradier, Richard S. Hotchkiss, and
Jean-Louis Vincent. 2017. “Nivolumab plus Interferon-
γ in the Treatment of Intractable Mucormycosis.” The
Lancet Infectious Diseases 17 (1): 18.
G. Ramkumar, R. Thandaiah Prabu, Ngangbam Phalguni
Singh, U. Maheswaran, Experimental analysis of brain
tumor detection system using Machine learning
approach, Materials Today: Proceedings, 2021, ISSN
22147853, https://doi.org/10.1016/j.matpr.2021.01.246
Hosey, R. G., C. G. Mattacola, V. Kriss, T. Armsey, J. D.
Quarles, and J. Jagger. 2006. “Ultrasound Assessment
of Spleen Size in Collegiate Athletes.” British Journal
of Sports Medicine 40 (3): 251–54.
Jung, Andreas, Reinhard Maier, Jean-Pierre Vartanian,
Gennady Bocharov, Volker Jung, Ulrike Fischer,
Eckart Meese, Simon Wain-Hobson, and Andreas
Meyerhans. 2002. “Multiply Infected Spleen Cells in
HIV Patients.” Nature 418 (6894): 144–144.
King, Harold, and Harris B. Shumacker Jr. 1952. “Splenic
Studies: I. Susceptibility to Infection after Splenectomy
Performed in Infancy.” Annals of Surgery 136 (2): 239.
Kumar M, M., Sivakumar, V. L., Devi V, S.,
Nagabhooshanam, N., & Thanappan, S. (2022).
Investigation on Durability Behavior of Fiber
Reinforced Concrete with Steel Slag/Bacteria beneath
Diverse Exposure Conditions. Advances in Materials
Science and Engineering, 2022.
Landen, Serge, and Jean Closset. 2007. “Gas-Producing
Infection of the Spleen in a Super-Super-Obese
Patient.” Obesity Surgery 17 (10): 1416–18.
Morris, Dudley H., and Frederick D. Bullock. 1919. “The
Importance of The Spleen in Resistance to Infection.”
Annals of Surgery 70 (5): 513.
Newland, Adrian, Drew Provan, and Steven Myint. 2005.
“Preventing Severe Infection after Splenectomy.” BMJ
331 (7514): 417–18.
Qiu, Junfei, Qihui Wu, Guoru Ding, Yuhua Xu, and Shuo
Feng. 2016. “A Survey of Machine Learning for Big
Data Processing.” EURASIP Journal on Advances in
Signal Processing 2016 (1): 1–16.
S. G and R. G, "Automated Breast Cancer Classification
based on Modified Deep learning Convolutional Neural
Network following Dual Segmentation," 2022 3rd
International Conference on Electronics and
Sustainable Communication Systems (ICESC),
Coimbatore, India, 2022, pp. 1562-1569, doi:
10.1109/ICESC54411.2022.9885299.
Vanus, Jan, Jan Kubicek, Ojan M. Gorjani, and Jiri
Koziorek. 2019. “Using the IBM SPSS SW Tool with
Wavelet Transformation for CO2 Prediction within IoT
in Smart Home Care.” Sensors 19 (6): 1407.
Wang, Y. Q., L. Lü, S. P. Weng, J. N. Huang, S-M Chan,
and J. G. He. 2006. “Molecular Epidemiology and
Phylogenetic Analysis of a Marine Fish Infectious
Spleen and Kidney Necrosis Virus-like (ISKNV-Like)
Virus.” Archives of Virology 152 (4): 763–73.
You, Zhen, Qinghe Zhang, Changjun Liu, Jiuzhou Song,
Ning Yang, and Ling Lian. 2019. “Integrated Analysis
of lncRNA and mRNA Repertoires in Marek’s Disease
Infected Spleens Identifies Genes Relevant to
Resistance.” BMC Genomics 20 (1): 1–15.
Zerem, Enver, and Jacob Bergsland. 2006. “Ultrasound
Guided Percutaneous Treatment for Splenic Abscesses:
The Significance in Treatment of Critically Ill
Patients.” World Journal of Gastroenterology: WJG 12
(45): 7341
AI4IoT 2023 - First International Conference on Artificial Intelligence for Internet of things (AI4IOT): Accelerating Innovation in Industry
and Consumer Electronics
486