Jadran Sessa

ORCID: 0000-0003-1299-7752
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About
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Research Areas
  • Coral and Marine Ecosystems Studies
  • Air Quality Monitoring and Forecasting
  • Open Source Software Innovations
  • Crime Patterns and Interventions
  • Marine Sponges and Natural Products
  • Data Management and Algorithms
  • Data Mining Algorithms and Applications
  • Anomaly Detection Techniques and Applications
  • Mobile Health and mHealth Applications
  • Scientific Computing and Data Management
  • Bayesian Methods and Mixture Models
  • Software Engineering Research
  • Microbial Community Ecology and Physiology
  • Face recognition and analysis
  • IoT and Edge/Fog Computing
  • Cryptography and Data Security
  • Statistical Methods and Inference
  • Delphi Technique in Research
  • Fire Detection and Safety Systems
  • Blockchain Technology Applications and Security
  • Video Surveillance and Tracking Methods

University of Milan
2020-2022

Abstract Scalable and secure authorization of smart things is the crucial essence for successful deployment Internet Things (IoT). Unauthorized access to could exacerbate security privacy concern, which could, in turn, lead reduced adoption IoT, ultimately emergence severe threats. Even though there are a variety IoT solutions authorization, schemes highly dynamic distributed environments remain daunting challenge. Access rights can dynamically change due heterogeneous nature shared devices...

10.1007/s40747-022-00765-y article EN cc-by Complex & Intelligent Systems 2022-05-19

Data is available to us in humongous amounts the real world, but none of it practical use if not converted useful information. However, knowledge discovery hindered because data often incomplete and noisy. Nowadays, problem recovering missing has found most important place field mining. Filling a significant task, as paramount all for given datasets are generally very small. In this paper, we deal with many values. Furthermore, three phases. The first phase considers concept feature...

10.1109/icedsa.2016.7818486 article EN 2016-12-01

Hearing loss is a disease exhibiting growing trend due to number of factors, including but not limited the mundane exposure noise and ever-increasing size older population. In framework public health policymaking process, modeling hearing based on data key factor in alleviating issues related issuing effective policies. First, paper describes steps data-driven process. Afterward, scenario along with part proposed platform responsible for supporting are presented. With aim demonstrating...

10.3390/ijerph17093271 article EN International Journal of Environmental Research and Public Health 2020-05-07

Crime Pattern Theory is a way of elucidating the reasons why specific types crime happen at certain areas only. According to theory, offenders, rather than venturing into unknown territories, frequently commit crimes by taking advantage opportunities they encounter in places their comfort zones or are most familiar with. Spatial analysis and higher concentration assist preventing least reducing amount future from knowledge discovery past data. Our approach prediction consists five modules,...

10.1109/isie51582.2022.9831620 article EN 2022 IEEE 31st International Symposium on Industrial Electronics (ISIE) 2022-06-01

Coral reefs represent one of the most biodiverse marine ecosystems on our planet. These consist colonies very small sea animals belonging to phylum named Cnidaria, and more complex, yet not so well-known microbial communities. Despite fact that they occupy only a tiny portion oceans' surface, coral are swarming with life, providing food shelter wide number species, ranging from mollusks numerous fish species. There is factors can affect their sustainability likelihood developing diseases,...

10.1016/j.ecoinf.2022.101635 article EN cc-by Ecological Informatics 2022-04-01

The advent of the COVID-19 pandemic has brought several never-before-seen changes in daily lives people around globe. As a way to curb spreading disease, wearing face masks become mandatory majority public places. To solve necessity mask detection such situations, there have been only handful research endeavors up this date. Computer vision advanced multi-fold with AlexNet architecture. With motivation go deeper neural network architecture, concept Depthwise Separable Convolutions and...

10.1109/ipccc51483.2021.9679407 article EN 2021-10-29
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