Jukka Heikkonen

Machine Vision and Artificial Intelligence in Robotics for Smart Factory (2023)

IEEE International Conference on Emerging Trends in Engineering, Sciences and Technology (ICES&T)

Kanth Rajeev, Heikkonen Jukka

(Vertaisarvioitu artikkeli konferenssijulkaisussa (A4))

Evaluation of Spatiotemporal Fetal Cardiac Imaging Using Deep Learning Techniques (2023)

International Health Informatics Conference, Lecture Notes in Electrical Engineering

Nidhi Dipak, Srivastav Khushboo, Heikkonen Jukka, Kanth Rajeev

(Vertaisarvioitu artikkeli konferenssijulkaisussa (A4))

One, Five, and Ten-Shot-Based Meta-Learning for Computationally Efficient Head Pose Estimation (2023)

International Journal of Embedded and Real-Time Communication Systems

Joshi Manoj, Pant Dibakar Raj, Heikkonen Jukka, Kanth Rajeev

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

Intelligent Traffic Light Solution for Green and Sustainable Smart City (2023)

Mediterranean Conference on Embedded Computing (MECO), Mediterranean Conference on Embedded Computing

Jafari Omid, Kolosov Stanislav, Vo Nhan, Magar Asmita Thapa, Heikkonen Jukka, Kanth Rajeev

(Vertaisarvioitu artikkeli konferenssijulkaisussa (A4))

Hybrid Capsule Network for Hyperspectral Image Unmixing and Classification (2023)

International Conference on Advances in Computing Research, Lecture notes in networks and systems

Giri Ravi, Pant Dibakar Raj, Heikkonen Jukka, Kanth Rajeev

(Vertaisarvioitu artikkeli konferenssijulkaisussa (A4))

A Comprehensive Study of Clustering-Based Techniques for Detecting Abnormal Vessel Behavior (2023)

Remote Sensing

Farahnakian Farshad, Nicolas Florent, Farahnakian Fahimeh, Nevalainen Paavo, Sheikh Javad, Heikkonen Jukka, Raduly-Baka Csaba

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

Multistream Convolutional Neural Network Fusion for Pixel-wise Classification of Peatland (2023)

International Conference on Information Fusion (FUSION)

Farahnakian Fahimeh, Zelioli Luca, Pitkänen Timo, Pohjankukka Jonne, Middleton Maarit, Tuominen Sakari, Nevalainen Paavo, Heikkonen Jukka

(Vertaisarvioitu artikkeli konferenssijulkaisussa (A4))

Bayesian Approach for Optimizing Forest Inventory Survey Sampling with Remote Sensing Data (2022)

Forests

Pohjankukka Jonne, Tuominen Sakari, Heikkonen Jukka

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

Abnormal Behaviour Detection by Using Machine Learning-Based Approaches in the Marine Environment: A Literature Survey (2022)

International Conference on Electrical, Computer and Energy Technologies

Farahnakian Farshad, Heikkonen Jukka, Nevalainen Paavo

(Vertaisarvioitu artikkeli konferenssijulkaisussa (A4))

Automated Testing and Resilience of Microservice’s Network-link using Istio Service Mesh (2022)

Conference of Open Innovations Association FRUCT, Proceedings of Conference of Open Innovations Association FRUCT

Karn Rupesh Raj, Das Rammi, Pant Dibakar Raj, Heikkonen Jukka, Kanth Rajeev

(Vertaisarvioitu artikkeli konferenssijulkaisussa (A4))

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Machine Vision and Artificial Intelligence in Robotics for Smart Factory (2023)

Evaluation of Spatiotemporal Fetal Cardiac Imaging Using Deep Learning Techniques (2023)

One, Five, and Ten-Shot-Based Meta-Learning for Computationally Efficient Head Pose Estimation (2023)

Intelligent Traffic Light Solution for Green and Sustainable Smart City (2023)

Hybrid Capsule Network for Hyperspectral Image Unmixing and Classification (2023)

A Comprehensive Study of Clustering-Based Techniques for Detecting Abnormal Vessel Behavior (2023)

Multistream Convolutional Neural Network Fusion for Pixel-wise Classification of Peatland (2023)

Bayesian Approach for Optimizing Forest Inventory Survey Sampling with Remote Sensing Data (2022)

Abnormal Behaviour Detection by Using Machine Learning-Based Approaches in the Marine Environment: A Literature Survey (2022)

Automated Testing and Resilience of Microservice’s Network-link using Istio Service Mesh (2022)