Jukka Heikkonen

Autonomous Quadruped Robot System with LiDAR Sensor Navigation and Task Execution (2025)

Mediterranean Conference on Embedded Computing

Khanal, Bishwatma; Happonen, Aki; Heikkonen, Jukka; Kanth, Rajeev

(A4 Vertaisarvioitu artikkeli konferenssijulkaisussa)

YOLO for Urban Traffic: Insights from Helsinki Port Surveillance (2025)

Lecture Notes in Networks and Systems

Sharma, Shahil; Singotam, Siddarth; Kayastha, Abhinav; Jafari, Omid; Happonen, Aki; Skön, Jukka-Pekka; Heikkonen, Jukka; Kanth, Rajeev

(A4 Vertaisarvioitu artikkeli konferenssijulkaisussa)

Wide-Area Ship Movement Prediction Using Random Forests (2025)

International Symposium on Intelligent Technology for Future Transportation, Communications in Computer and Information Science

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

(A4 Vertaisarvioitu artikkeli konferenssijulkaisussa)

Investigation of Reinforcement Learning Framework by deploying robust Pose Correction strategies for Precision Navigation of Agricultural Ground Robots (2025)

Lachhiramka, Sanraj; Ghosh, Kuntal; Dalal, Niraj; Sheikh Akbari, Akbar; Heikkonen, Jukka; Kanth, Rajeev

(A4 Vertaisarvioitu artikkeli konferenssijulkaisussa)

Peatland pixel-level classification via multispectral, multiresolution and multisensor data using convolutional neural network (2025)

Ecological Informatics

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

(A1 Vertaisarvioitu alkuperäisartikkeli tieteellisessä lehdessä )

Enhancing hurdles athletes’ performance analysis: A comparative study of cnn-based pose estimation frameworks (2025)

Multimedia Tools and Applications

Jafarzadeh, Pouya; Zelioli, Luca; Virjonen, Petra; Farahnakian, Fahimeh; Nevalainen, Paavo; Heikkonen, Jukka

(A1 Vertaisarvioitu alkuperäisartikkeli tieteellisessä lehdessä )

Lessons Learned from the RAICAM Doctoral Network Research Sprints (2025)

Lecture Notes in Computer Science

Kenan, Alperen; Kordkheili, Sahar Sadeghi; Garcia Cardenas, Juan Jose; Melone, Alessandro; Tian, Changda; Li, Haichuan; Raei, Hamidreza; Arachchige, Sasanka Kuruppu; Tang, Yifeng; Tapus, Adriana; Ollero, Anibal; Ajudani, Arash; Arrue, Begoña C.; Papageorgiou, Dimitrios; Kämäräinen, Joni-Kristian; Heikkonen, Jukka; Figueredo, Luis; Giuliani, Manuel; Trahanias, Panos; Bremner, Paul; Nekoo, Saeed Rafee; Watson, Simon; Westerlund, Tomi

(A4 Vertaisarvioitu artikkeli konferenssijulkaisussa)

SSTSM: A Black Box Test Suite Minimization Algorithm Based on Fault-Exposing Potential and Squirrel Search (2025)

Lecture Notes in Networks and Systems

Deferisha, Aliazar Deneke; Bejo, Seifu Detso; Mohapatra, Sudhir Kumar; Heikkonen, Jukka; Kanth, Rajeev

(A4 Vertaisarvioitu artikkeli konferenssijulkaisussa)

Enhancing Mineral Prospectivity Mapping in Imbalanced Data Environments Using Geophysical Feature Similarity and Bayesian Kernel Density Estimation (2025)

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

(A4 Vertaisarvioitu artikkeli konferenssijulkaisussa)

Deep Mix: AI in Littoral Sonar Operations (2025)

Journal of marine science and application

Vasankari, Lauri; Borzyszkowski, Adrian; Zelioli, Luca; Heikkonen, Jukka

(A1 Vertaisarvioitu alkuperäisartikkeli tieteellisessä lehdessä )

Jukka

Heikkonen

Ota yhteyttä

Linkit

Julkaisut

Järjestä:

Autonomous Quadruped Robot System with LiDAR Sensor Navigation and Task Execution (2025)

YOLO for Urban Traffic: Insights from Helsinki Port Surveillance (2025)

Wide-Area Ship Movement Prediction Using Random Forests (2025)

Investigation of Reinforcement Learning Framework by deploying robust Pose Correction strategies for Precision Navigation of Agricultural Ground Robots (2025)

Peatland pixel-level classification via multispectral, multiresolution and multisensor data using convolutional neural network (2025)

Enhancing hurdles athletes’ performance analysis: A comparative study of cnn-based pose estimation frameworks (2025)

Lessons Learned from the RAICAM Doctoral Network Research Sprints (2025)

SSTSM: A Black Box Test Suite Minimization Algorithm Based on Fault-Exposing Potential and Squirrel Search (2025)

Enhancing Mineral Prospectivity Mapping in Imbalanced Data Environments Using Geophysical Feature Similarity and Bayesian Kernel Density Estimation (2025)

Deep Mix: AI in Littoral Sonar Operations (2025)