Jukka Heikkonen

Unlocking the Genome: The Hidden Algorithms Behind Neural Processes and AI (2026)

Lecture Notes in Networks and Systems

Lai, Dung; Sheikh-Akbari, Akbar; Skön, Jukka-Pekka; Heikkonen, Jukka; Kanth, Rajeev

(A4 Vertaisarvioitu artikkeli konferenssijulkaisussa)

Computational Approaches for Logical Biomolecular Complexes Design for Cancer Treatment: A Preliminary Study (2026)

Smart innovation, systems and technologies

Ngoc, Dzung Lai; Luojus, Maria; Heikkonen, Jukka; Kanth, Rajeev

(A4 Vertaisarvioitu artikkeli konferenssijulkaisussa)

Image partitioning with windowed and panoramic configuration for passive 360-degree camera in military unmanned ground vehicle: A machine learning-based detection framework (2026)

Journal of Military Studies

Borzyszkowski, Adrian; Andersson, Christian; Zelioli, Luca; Nevalainen, Paavo; Heikkonen, Jukka

(A1 Vertaisarvioitu alkuperäisartikkeli tieteellisessä lehdessä )

Decoding Cultural Music Classification with Machine Learning and Segment Length Analysis (2026)

SN Computer Science

Abebe, Mesfin; Endashew, Leta; Heikkonen, Jukka; Kanth, Rajeev; Mohapatra, Sudhir Kumar

(A1 Vertaisarvioitu alkuperäisartikkeli tieteellisessä lehdessä )

Can Radiomics Based Models Survive Across MRI Scanners? (2026)

Lecture Notes in Networks and Systems

Chaudhary, Jatin; Jambor, Ivan; Aronen, Hannu; Ettala, Otto; Saunavaara, Jani; Boström, Peter; Heikkonen, Jukka; Kanth, Rajeev; Merisaari, Harri

(A4 Vertaisarvioitu artikkeli konferenssijulkaisussa)

Multi-modal Fusion of LiDAR and PRISMA Data for Cobalt Mapping: A Case Study from the Áramo Mine, Spain (2025)

Lecture Notes in Computer Science

Farahnakian, Fahimeh; Farahnakian, Farshad; Sheikh, Javad; Downey, Steven; Williams, Vaughan; Heikkonen, Jukka

(A4 Vertaisarvioitu artikkeli konferenssijulkaisussa)

Temporal Sequence Modeling for Rare Failure Prediction in Industrial Machinery Using a Hybrid CNN-LSTM Model (2025)

Faraz, Mehdi; Shubina, Viktoriia; Mäkilä, Tuomas; Heikkonen, Jukka

(A4 Vertaisarvioitu artikkeli konferenssijulkaisussa)

Maritime vessel movement prediction: A temporal convolutional network model with optimal look-back window size determination (2025)

Farahnakian, Farshad; Nevalainen, Paavo; Farahnakian, Fahimeh; Vähämäki, Tanja; Heikkonen, Jukka

(A1 Vertaisarvioitu alkuperäisartikkeli tieteellisessä lehdessä )

Enhancing Mineral Prospectivity Mapping with Contrastive Representation Learning and Dimensionality Reduction Techniques (2025)

Lecture Notes in Networks and Systems

Nidhi, Dipak Kumar; Chaudhary, Jatin; Heikkonen, Jukka; Kanth, Rajeev

(A4 Vertaisarvioitu artikkeli konferenssijulkaisussa)

Point Cloud Facilitated ORB-SLAM2 for Robust Autonomous Navigation in a Cluttered Indoor Environment (2025)

Lecture Notes in Networks and Systems

Ghosh, Kuntal; Heikkonen, Jukka; Kanth, Rajeev

(A4 Vertaisarvioitu artikkeli konferenssijulkaisussa)

Jukka

Heikkonen

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Unlocking the Genome: The Hidden Algorithms Behind Neural Processes and AI (2026)

Computational Approaches for Logical Biomolecular Complexes Design for Cancer Treatment: A Preliminary Study (2026)

Image partitioning with windowed and panoramic configuration for passive 360-degree camera in military unmanned ground vehicle: A machine learning-based detection framework (2026)

Decoding Cultural Music Classification with Machine Learning and Segment Length Analysis (2026)

Can Radiomics Based Models Survive Across MRI Scanners? (2026)

Multi-modal Fusion of LiDAR and PRISMA Data for Cobalt Mapping: A Case Study from the Áramo Mine, Spain (2025)

Temporal Sequence Modeling for Rare Failure Prediction in Industrial Machinery Using a Hybrid CNN-LSTM Model (2025)

Maritime vessel movement prediction: A temporal convolutional network model with optimal look-back window size determination (2025)

Enhancing Mineral Prospectivity Mapping with Contrastive Representation Learning and Dimensionality Reduction Techniques (2025)

Point Cloud Facilitated ORB-SLAM2 for Robust Autonomous Navigation in a Cluttered Indoor Environment (2025)