Paavo Nevalainen

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)

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)

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 )

AI-ARC Baltic Demo: Detecting Illegal Activities at Sea (2024)

International Conference on Information Fusion

Svenson, Pontus; Holst, Anders; Wallberg, Anders; Nevalainen, Paavo; Farahnakian, Farshad; Álamo, Alfonso; Germinara, Vincenzo; Schweizer, Daniel; Leicht, Matthis; Anneken, Mathias; Hoppe, Adrian H.; Karalis, Aristeidis; Ashraf, Labib; Beltrán, Maria Eugenia; Hernandez, Liss; Partanen, Petteri; Markkanen, Minna

(A4 Vertaisarvioitu artikkeli konferenssijulkaisussa)

AI-Based Sentiment Analysis Approaches for Large-Scale Data Domains of Public and Security Interests (2023)

International Conference on Applied Human Factors and Ergonomics, AHFE International: Applied Human Factors and Ergonomics International

Heilala Janne, Nevalainen Paavo, Toivonen Kristiina

(Vertaisarvioitu artikkeli konferenssijulkaisussa (A4))

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))

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

(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))

Ota yhteyttä

Linkit

Asiantuntijuusalueet

Julkaisut

Järjestä:

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

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

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)

AI-ARC Baltic Demo: Detecting Illegal Activities at Sea (2024)

AI-Based Sentiment Analysis Approaches for Large-Scale Data Domains of Public and Security Interests (2023)

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

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