Srinivasa Kanduru

Work-in-Progress: Context and Noise Aware Resilience for Autonomous Driving Applications (2024)

International Conference on Hardware/Software Codesign and System Synthesis, International Conference on Hardware/Software Codesign and System Synthesis

Alikhani, Hamidreza;Kanduri, Anil; Liljeberg, Pasi; Rahmani, Amir M.; Dutt, Nikil

(O2 Muu julkaisu )

SEAL: Sensing Efficient Active Learning on Wearables through Context-awareness (2024)

Design, Automation, and Test in Europe Conference and Exhibition, Proceedings : Design, Automation, and Test in Europe Conference and Exhibition

Alikhani, Hamidreza; Wang, Ziyu; Kanduri, Anil; Liljeberg, Pasi; Rahmani, Amir M.; Dutt, Nikil

(A4 Vertaisarvioitu artikkeli konferenssijulkaisussa)

Adaptive approximate computing in edge AI and IoT applications: A review (2024)

Journal of Systems Architecture

Damsgaard Hans Jakob, Grenier Antoine, Katare Dewant, Taufique Zain, Shakibhamedan Salar, Troccoli Tiago, Chatzitsompanis Georgios, Kanduri Anil, Ometov Aleksandr, Ding Aaron Yi, Taherinejad Nima, Karakonstantis Georgios, Woods Roger, Nurmi Jari

(A2 Vertaisarvioitu katsausartikkeli tieteellisessä lehdessä)

ECG Unveiled: Analysis of Client Re-identification Risks in Real-World ECG Datasets (2024)

IEEE International Conference on Body Sensor Networks, International Conference on Wearable and Implantable Body Sensor Networks

Wang, Ziyu; Kanduri, Anil; Aqajari, Seyed Amir Hossein; Jafarlou, Salar; Mousavi, Sanaz R.; Liljeberg, Pasi; Malik, Shaista; Rahmani, Amir M.

(A4 Vertaisarvioitu artikkeli konferenssijulkaisussa)

EA2: Energy Efficient Adaptive Active Learning for Smart Wearables (2024)

International Symposium on Low Power Electronics and Desig

Alikhani, Hamidreza; Wang, Ziyu; Kanduri, Anil; Liljeberg, Pasi; Rahmani, Amir M.; Dutt, Nikil

(A4 Vertaisarvioitu artikkeli konferenssijulkaisussa)

Adaptive Workload Distribution for Accuracy-aware DNN Inference on Collaborative Edge Platforms (2024)

Asia and South Pacific Design Automation Conference, Proceedings of the Asia and South Pacific Design Automation Conference

Taufique Zain, Miele Antonio, Liljeberg Pasi, Kanduri Anil

(A4 Vertaisarvioitu artikkeli konferenssijulkaisussa)

Edge-Centric Optimization of Multi-modal ML-Driven eHealth Applications (2023)

Kanduri Anil, Shahhosseini Sina, Naeini Emad Kasaeyan, Alikhani Hamidreza, Liljeberg Pasi, Dutt Nikil, Rahmani Amir M.

(Vertaisarvioitu artikkeli kokoomateoksessa (A3))

DynaFuse: Dynamic Fusion for Resource Efficient Multi-Modal Machine Learning Inference (2023)

IEEE Embedded Systems Letters

Alikhani Hamidreza, Kanduri Anil, Liljeberg Pasi, Rahmani Amir M., Dutt Nikil

(Vertaisarvioitu alkuperäisartikkeli tai data-artikkeli tieteellisessä aikakauslehdessä (A1))

Hybrid Learning for Orchestrating Deep Learning Inference in Multi-user Edge-cloud Networks (2022)

International Symposium on Quality Electronic Design, International symposium on quality electronic design proceedings

Shahhosseini Sina, Hu Tianyi, Seo Dongjoo, Kanduri Anil, Donyanavard Bryan, Rahmani Amir M., Dutt Nikil

(A4 Vertaisarvioitu artikkeli konferenssijulkaisussa)

AMSER: Adaptive Multimodal Sensing for Energy Efficient and Resilient eHealth Systems (2022)

Design, Automation and Test in Europe Conference and Exhibition, Proceedings : Design, Automation, and Test in Europe Conference and Exhibition

Naeini Emad Kasaeyan, Shahhosseini Sina, Kanduri Anil, Liljeberg Pasi, Rahmani Amir M., Dutt Nikil

(Vertaisarvioitu artikkeli konferenssijulkaisussa (A4))

Ota yhteyttä

Julkaisut

Järjestä:

Work-in-Progress: Context and Noise Aware Resilience for Autonomous Driving Applications (2024)

SEAL: Sensing Efficient Active Learning on Wearables through Context-awareness (2024)

Adaptive approximate computing in edge AI and IoT applications: A review (2024)

ECG Unveiled: Analysis of Client Re-identification Risks in Real-World ECG Datasets (2024)

EA2: Energy Efficient Adaptive Active Learning for Smart Wearables (2024)

Adaptive Workload Distribution for Accuracy-aware DNN Inference on Collaborative Edge Platforms (2024)

Edge-Centric Optimization of Multi-modal ML-Driven eHealth Applications (2023)

DynaFuse: Dynamic Fusion for Resource Efficient Multi-Modal Machine Learning Inference (2023)

Hybrid Learning for Orchestrating Deep Learning Inference in Multi-user Edge-cloud Networks (2022)

AMSER: Adaptive Multimodal Sensing for Energy Efficient and Resilient eHealth Systems (2022)