Jukka Heikkonen

Supporting SME companies in mapping out AI potential: a finnish AI development case (2024)

Journal of Technology Transfer

Jafarzadeh, Pouya; Vähämäki, Tanja; Nevalainen, Paavo; Tuomisto, Antti; Heikkonen, Jukka

(A1 Vertaisarvioitu alkuperäisartikkeli tieteellisessä lehdessä )

High-resolution harvester data for estimating rolling resistance and forest trafficability (2024)

European Journal of Forest Research

Salmivaara, Aura; Holmström, Eero; Kulju, Sampo; Ala-Ilomäki, Jari; Virjonen, Petra; Nevalainen, Paavo; Heikkonen, Jukka; Launiainen, Samuli

(A1 Vertaisarvioitu alkuperäisartikkeli tieteellisessä lehdessä )

Study on Stereo AI Based Zed-2i Camera (2024)

International Conference on Information Technology and Systems, Lecture notes in networks and systems

Padberg Timon, Heikkonen Jukka, Kanth Rajeev

(A4 Vertaisarvioitu artikkeli konferenssijulkaisussa)

Addressing imbalanced data for machine learning based mineral prospectivity mapping (2024)

Ore Geology Reviews

Farahnakian, Fahimeh; Sheikh, Javad; Zelioli, Luca; Nidhi, Dipak; Seppä, Iiro; Ilo, Rami; Nevalainen, Paavo; Heikkonen, Jukka

(A2 Vertaisarvioitu katsausartikkeli tieteellisessä lehdessä)

Ocular Disease Classification Using CNN with Deep Convolutional Generative Adversarial Network (2024)

International Conference on Computer Science and its Applications and the International Conference on Ubiquitous Information Technologies and Applications, Lecture Notes in Electrical Engineering

Kunwar, Arun; Pant, Dibakar Raj; Skön, Jukka-Pekka; Heikkonen, Jukka; Turjamaa, Riitta; Kanth, Rajeev

(A4 Vertaisarvioitu artikkeli konferenssijulkaisussa)

A comparative study of state-of-the-art deep learning architectures for rice grain classification (2024)

Journal of agriculture and food research

Farahnakian Farshad, Sheikh Javad, Farahnakian Fahimeh, Heikkonen Jukka

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

Short and Long Term Vessel Movement Prediction for Maritime Traffic (2024)

Critical Information Infrastructures Security, Lecture Notes in Computer Science

Farahnakian, Farshad; Farahnakian, Fahimeh; Sheikh, Javad; Nevalainen, Paavo; Heikkonen, Jukka

(A4 Vertaisarvioitu artikkeli konferenssijulkaisussa)

TNEST: Training Sparse Neural Network for FPGA Based Edge Application (2024)

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

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

(Vertaisarvioitu artikkeli konferenssijulkaisussa (A4))

Pose estimation of sow and piglets during free farrowing using deep learning (2024)

Journal of agriculture and food research

Farahnakian Fahimeh, Farahnakian Farshad, Björkman Stefan, Bloch Victor, Pastell Matti, Heikkonen Jukka

(A1 Vertaisarvioitu alkuperäisartikkeli tieteellisessä lehdessä )

Enhancing Peatland Classification using Sentinel-1 and Sentinel-2 Fusion with Encoder-Decoder Architecture (2024)

International Conference on Information Fusion

Zelioli, Luca; Farahnakian, Fahimeh; Farahnakian, Farshad; Middleton, Maarit; Heikkonen, Jukka

(A4 Vertaisarvioitu artikkeli konferenssijulkaisussa)

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Supporting SME companies in mapping out AI potential: a finnish AI development case (2024)

High-resolution harvester data for estimating rolling resistance and forest trafficability (2024)

Study on Stereo AI Based Zed-2i Camera (2024)

Addressing imbalanced data for machine learning based mineral prospectivity mapping (2024)

Ocular Disease Classification Using CNN with Deep Convolutional Generative Adversarial Network (2024)

A comparative study of state-of-the-art deep learning architectures for rice grain classification (2024)

Short and Long Term Vessel Movement Prediction for Maritime Traffic (2024)

TNEST: Training Sparse Neural Network for FPGA Based Edge Application (2024)

Pose estimation of sow and piglets during free farrowing using deep learning (2024)

Enhancing Peatland Classification using Sentinel-1 and Sentinel-2 Fusion with Encoder-Decoder Architecture (2024)