{"text_format":"2","workbook":"xls","n_sheets":1,"sheets":["report2"],"not_rendered":{"charts":0,"images":0,"macros":0,"external_links":1,"defined_names":2,"comments":0,"pivot_tables":0},"unopened":[],"bounds":{"document_bytes":16777216,"sheet_cells":100000,"run_cost":"one","rows_first":2000,"rows_last":500,"rows_between":2000,"halvings":0,"cell_chars":16384,"cell_head_chars":4096},"cells_cut":0,"cells_raw":0,"read":"whole","date_system":"1900","formulas":"cached_only"}

{"sheet":"report2","index":0,"n_rows":31,"n_cols":5,"rows_kept":31,"cut":false,"hidden":false,"merged":[[0,2,0,3],[0,4,0,5],[1,2,1,3],[1,4,1,5],[2,2,2,3],[2,4,2,5],[3,2,3,3],[4,2,4,3],[6,2,6,3],[7,2,7,3],[8,2,8,3],[9,2,9,3],[10,2,10,3],[15,2,15,3],[16,2,16,3],[18,2,18,3],[20,2,20,3],[20,4,20,5],[21,2,21,3],[21,4,21,5],[22,2,22,3],[22,4,22,5],[23,2,23,3],[24,2,24,3],[25,2,25,3],[26,2,26,3],[27,2,27,3],[28,2,28,3]],"flags":["formulas_cached_only"]}
[null,"1.","Record Nr.",null,"UNINA9910734096103321"]
[null,null,"Autore",null,"Kumar Sandeep"]
[null,null,"Titolo",null,"Third Congress on Intelligent Systems : Proceedings of CIS 2022, Volume 2 / / edited by Sandeep Kumar, Harish Sharma, K. Balachandran, Joong Hoon Kim, Jagdish Chand Bansal"]
[null,null,"Pubbl/distr/stampa",null,"Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2023"]
[null,null,"ISBN",null,"9789811993794"]
[{"$nulls":4},"9789811993787"]
[null,null,"Edizione",null,"[1st ed. 2023.]"]
[null,null,"Descrizione fisica",null,"1 online resource (850 pages)"]
[null,null,"Collana",null,"Lecture Notes in Networks and Systems, , 2367-3389 ; ; 613"]
[null,null,"Disciplina",null,"006.3"]
[null,null,"Soggetti",null,"Computational intelligence"]
[{"$nulls":4},"Artificial intelligence"]
[{"$nulls":4},"Robotics"]
[{"$nulls":4},"Computational Intelligence"]
[{"$nulls":4},"Artificial Intelligence"]
[null,null,"Lingua di pubblicazione",null,"Inglese"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,null,"Nota di contenuto",null,"Patch Extraction and Classifier for Abnormality Classification in Mammography Imaging -- Improving the Performance of Fuzzy Rule Based Classification Systems using Particle Swarm Optimization -- Tuning Extreme Learning Machine by Hybrid Planet Optimization Algorithm: An Application for Diabetes Classification -- Towards Computation Offloading Approaches in IoT-Fog-Cloud Environment: Survey on Concepts, Architectures, Tools and Methodologies -- Prediction of COVID-19 Pandemic spread using Graph Neural Networks -- Event Based Time-To-Contact Estimation with Depth Image Fusion -- mCD and Clipped RBM based DBN for Optimal Classification of Breast Cancer -- Digital Disruption in Major Ports with Special Reference to Chennai Port, Kamarajar Port and Tuticorin Port -- SmartTour: A Blockchain-based Smart Tourism Platform using Improvised SHA -- Detection of Starch in Turmeric using Machine Learning Methods -- A study of Crypto-Ransomware using Detection Techniques for Defence Research -- Internet of Things (IOT) Based Smart Agriculture System Implementation and Current Challenges -- Physical Unclonable Function and Smart Contract based Authentication Protocol for Medical Sensor Network -- Developing Prediction Model for Hospital Appointment No-Shows using Logistic Regression."]
[null,null,null,"Sommario/riassunto","This book is a collection of selected papers presented at the Third Congress on Intelligent Systems (CIS 2022), organized by CHRIST (Deemed to be University), Bangalore, India, under the technical sponsorship of the Soft Computing Research Society, India, during September 5–6, 2022. It includes novel and innovative work from experts, practitioners, scientists, and decision-makers from academia and industry. It covers topics such as the Internet of Things, information security, embedded systems, real-time systems, cloud computing, big data analysis, quantum computing, automation systems, bio-inspired intelligence, cognitive systems, cyber-physical systems, data analytics, data/web mining, data science, intelligence for security, intelligent decision-making systems, intelligent information processing, intelligent transportation, artificial intelligence for machine vision, imaging sensors technology, image segmentation, convolutional neural network, image/video classification, soft computing for machine vision, pattern recognition, human-computer interaction, robotic devices and systems, autonomous vehicles, intelligent control systems, human motor control, game playing, evolutionary algorithms, swarm optimization, neural network, deep learning, supervised learning, unsupervised learning, fuzzy logic, rough sets, computational optimization, and neuro-fuzzy systems."]
[null,"2.","Record Nr.",null,"UNINA9910404086303321"]
[null,null,"Autore",null,"Gudis David"]
[null,null,"Titolo",null,"Chronic Rhinosinusitis and Concomitant Medical Disorders"]
[null,null,"Pubbl/distr/stampa",null,"MDPI - Multidisciplinary Digital Publishing Institute, 2020"]
[null,null,"ISBN",null,"3-03928-812-1"]
[null,null,"Descrizione fisica",null,"1 online resource (88 p.)"]
[null,null,"Soggetti",null,"Medicine"]
[null,null,"Lingua di pubblicazione",null,"Inglese"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,null,null,"Sommario/riassunto","It is with great pleasure that we present to you this Special Issue of Medical Sciences. In this issue, we present a comprehensive and contemporary review of the medical comorbidities that contribute to chronic rhinosinusitis, and, conversely, how our interventions as otolaryngologists can impact those systemic conditions. Our understanding of chronic rhinosinusitis has evolved tremendously over the last two decades. As we have learned, chronic rhinosinusitis-a chronic inflammatory condition of the nasal cavity and paranasal sinuses-is often a local inflammatory response to a systemic or mucosal disorder. The underlying systemic medical conditions not only influence the presentation and diagnosis of chronic rhinosinusitis, but also modify the patients' response to medical and surgical interventions. Chronic rhinosinusitis associated with cystic fibrosis, for example, is a disorder quite distinct from that associated with aspirin-exacerbated respiratory disease. A clear understanding of the nuances that distinguish these unique and challenging disorders is critical for the practicing otolaryngologist. Equally important, however, is a clear understanding of the powerful benefits that our interventions as otolaryngologists can have for our patients' rhinologic and systemic health. Knowing that our rhinologic interventions might spare an asthma patient a trip to an emergency room or reduce lung infections in a cystic fibrosis patient makes this a very exciting time to be a rhinologist. We hope you enjoy this Special Issue of Medical Sciences."]