What is she best known for?
The fields of study she is best known for:
- Computer network
- Artificial intelligence
- Telecommunications
The scientist’s investigation covers issues in Computer network, Wireless sensor network, Distributed computing, Automatic repeat request and Wireless network.
Her Computer network research incorporates themes from Wireless and Heterogeneous network.
The Wireless sensor network study combines topics in areas such as Energy consumption, Lossy compression, Theoretical computer science and Compressed sensing.
Her work carried out in the field of Distributed computing brings together such families of science as IP tunnel, Internet Protocol, Internet Protocol Control Protocol, Network topology and Network element.
The Selective Repeat ARQ research Michele Rossi does as part of her general Automatic repeat request study is frequently linked to other disciplines of science, such as Fountain code, therefore creating a link between diverse domains of science.
Her Wireless network research incorporates elements of Dissemination and Wireless ad hoc network.
Her most cited work include:
- In-network aggregation techniques for wireless sensor networks: a survey (657 citations)
- Architecture and protocols for the Internet of Things: A case study (160 citations)
- Sensing, Compression, and Recovery for WSNs: Sparse Signal Modeling and Monitoring Framework (152 citations)
What are the main themes of her work throughout her whole career to date?
Her scientific interests lie mostly in Computer network, Distributed computing, Wireless sensor network, Communication channel and Real-time computing.
Her Computer network research is multidisciplinary, incorporating perspectives in Wireless, Wireless ad hoc network and Wireless network.
The various areas that Michele Rossi examines in her Wireless network study include Dissemination and Linear network coding.
Her Distributed computing study integrates concerns from other disciplines, such as Energy consumption, Energy harvesting, Throughput, Network topology and Routing protocol.
Her Wireless sensor network study combines topics in areas such as Lossy compression, Relay, Key distribution in wireless sensor networks, Data compression and Compressed sensing.
Her Communication channel research integrates issues from Transmission and Network packet.
She most often published in these fields:
- Computer network (45.36%)
- Distributed computing (27.32%)
- Wireless sensor network (24.59%)
What were the highlights of her more recent work (between 2018-2021)?
- Base station (11.48%)
- Artificial intelligence (12.57%)
- Distributed computing (27.32%)
In recent papers she was focusing on the following fields of study:
Michele Rossi mainly focuses on Base station, Artificial intelligence, Distributed computing, Edge computing and Real-time computing.
Her Base station research entails a greater understanding of Computer network.
Her study in the field of Access network also crosses realms of Adaptive management.
Her study in Artificial intelligence is interdisciplinary in nature, drawing from both Machine learning and Computer vision.
Her work deals with themes such as Energy consumption and Quality of service, which intersect with Distributed computing.
As part of one scientific family, Michele Rossi deals mainly with the area of Real-time computing, narrowing it down to issues related to the Artificial neural network, and often Activity recognition and IEEE 802.11ac.
Between 2018 and 2021, her most popular works were:
- Prediction of Adverse Glycemic Events From Continuous Glucose Monitoring Signal (18 citations)
- Online Supervisory Control and Resource Management for Energy Harvesting BS Sites Empowered with Computation Capabilities (8 citations)
- Online Power Management Strategies for Energy Harvesting Mobile Networks (6 citations)
In her most recent research, the most cited papers focused on:
- Computer network
- Artificial intelligence
- Telecommunications
Michele Rossi mainly investigates Artificial intelligence, Base station, Real-time computing, Machine learning and Feature extraction.
Her studies deal with areas such as Communication channel, Micro doppler and Computer vision as well as Artificial intelligence.
Michele Rossi has included themes like Energy harvesting, Overhead and Edge computing in her Base station study.
Her studies examine the connections between Real-time computing and genetics, as well as such issues in Vehicular ad hoc network, with regards to Beamforming, Markov decision process, Heuristic and Data transmission.
She has researched Deep learning in several fields, including Classifier, Segmentation, Data mining and Convolutional neural network.
Her Cellular network research includes elements of Quality of service, Distributed computing and Energy management.
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