Jukka Heikkonen

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

(A1 Vertaisarvioitu alkuperäisartikkeli tieteellisessä lehdessä )

Multi-class Pathogenic Microbes Classification by Stochastic Gradient Descent and Discriminative Fine-Tuning on Different CNN Architectures (2023)

International Conference on Machine Learning, IoT and Big Data, Lecture notes in networks and systems

Jha Nirajan, Pant Dibakar Raj, Heikkonen Jukka, Kanth Rajeev

(Vertaisarvioitu artikkeli konferenssijulkaisussa (A4))

CNN-based Boreal Peatland Fertility Classification from Sentinel-1 and Sentinel-2 Imagery (2023)

IEEE International Symposium on Robotic and Sensors Environments

Farahnakian Fahimeh, Zelioli Luca, Middleton Maarit, Seppä Iiro, Pitkänen Timo P., Heikkonen Jukka

(A4 Vertaisarvioitu artikkeli konferenssijulkaisussa)

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))

Enhancing Minerals Prospects Mapping with Machine Learning: Addressing Imbalanced Geophysical Datasets and Data Visualization Approaches (2023)

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

Nidhi Dipak Kumar, Seppä Iiro, Farahnakian Fahimeh, Zelioli Luca, 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))

Real-Time Military Tank Detection Using YOLOv5 Implemented on Raspberry Pi (2023)

International Conference on Artificial Intelligence, Robotics and Control

Jafarzadeh Pouya, Zelioli Luca, Farahnakian Fahimeh, Nevalainen Paavo, Heikkonen Jukka, Hemminki Petteri, Andersson Christian

(A4 Vertaisarvioitu artikkeli konferenssijulkaisussa)

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

(A1 Vertaisarvioitu alkuperäisartikkeli tieteellisessä lehdessä )

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

Forests

Pohjankukka Jonne, Tuominen Sakari, Heikkonen Jukka

(A1 Vertaisarvioitu alkuperäisartikkeli tieteellisessä lehdessä )

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))

Ota yhteyttä

Linkit

Julkaisut

Järjestä:

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

Multi-class Pathogenic Microbes Classification by Stochastic Gradient Descent and Discriminative Fine-Tuning on Different CNN Architectures (2023)

CNN-based Boreal Peatland Fertility Classification from Sentinel-1 and Sentinel-2 Imagery (2023)

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

Enhancing Minerals Prospects Mapping with Machine Learning: Addressing Imbalanced Geophysical Datasets and Data Visualization Approaches (2023)

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

Real-Time Military Tank Detection Using YOLOv5 Implemented on Raspberry Pi (2023)

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