标题/作者	年份
A review on deep learning in machining and tool monitoring: Methods, opportunities, and challenges V Nasir, F Sassani The International Journal of Advanced Manufacturing Technology 115 (9-10 …	2021
Acoustic emission monitoring of sawing process: artificial intelligence approach for optimal sensory feature selection V Nasir, J Cool, F Sassani The International Journal of Advanced Manufacturing Technology 102, 4179-4197	2019
Prediction of physical and mechanical properties of thermally modified wood based on color change evaluated by means of “group method of data handling”(GMDH) neural network V Nasir, S Nourian, S Avramidis, J Cool Holzforschung 73 (4), 381-392	2019
Stress wave evaluation for predicting the properties of thermally modified wood using neuro-fuzzy and neural network modeling V Nasir, S Nourian, S Avramidis, J Cool Holzforschung 73 (9), 827-838	2019
Stress wave evaluation by accelerometer and acoustic emission sensor for thermally modified wood classification using three types of neural networks V Nasir, S Nourian, S Avramidis, J Cool European Journal of Wood and Wood Products 77, 45-55	2019
Intelligent wood machining monitoring using vibration signals combined with self-organizing maps for automatic feature selection V Nasir, J Cool The International Journal of Advanced Manufacturing Technology 108, 1811-1825	2020
Intelligent machining monitoring using sound signal processed with the wavelet method and a self-organizing neural network V Nasir, J Cool, F Sassani IEEE Robotics and Automation Letters 4 (4), 3449-3456	2019
Optimal power consumption and surface quality in the circular sawing process of Douglas-fir wood V Nasir, J Cool European Journal of Wood and Wood Products 77, 609-617	2019
Characterization, optimization, and acoustic emission monitoring of airborne dust emission during wood sawing V Nasir, J Cool The International Journal of Advanced Manufacturing Technology 109 (9-12 …	2020
The effect of rotation speed on the power consumption and cutting accuracy of guided circular saw: Experimental measurement and analysis of saw critical and flutter speeds V Nasir, A Mohammadpanah, J Cool Wood material science & engineering 15 (3), 140-146	2020
Classification and characterization of thermally modified timber using visible and near-infrared spectroscopy and artificial neural networks: a comparative study on the performance of different NDE methods and ANNs V Nasir, S Nourian, Z Zhou, S Rahimi, S Avramidis, J Cool Wood Science and Technology 53, 1093-1109	2019
Cutting tool temperature monitoring in circular sawing: Measurement and multi-sensor feature fusion-based prediction V Nasir, M Kooshkbaghi, J Cool, F Sassani The International Journal of Advanced Manufacturing Technology 112, 2413-2424	2021
Modeling and optimizing the specific cutting energy of medium density fiberboard during the helical up-milling process R Li, C He, W Xu, X Wang Wood Material Science & Engineering 18 (2), 464-471	2023
Revisiting the estimation of cutting power with different energetic methods while sawing soft and hard woods on the circular sawing machine: A Central European case KA Orlowski, T Ochrymiuk, L Hlaskova, D Chuchala, Z Kopecky Wood science and technology 54 (2), 457-477	2020
Fine dust creation during hardwood machine sanding M Pędzik, T Rogoziński, J Majka, K Stuper-Szablewska, P Antov, L Kristak, ... Applied Sciences 11 (14), 6602	2021
Tropical wood dusts—granulometry, morfology and ignition temperature M Vandličková, I Marková, L Makovická Osvaldová, S Gašpercová, ... Applied Sciences 10 (21), 7608	2020
Gasification of woody biomasses and forestry residues: Simulation, performance analysis, and environmental impact S Safarian, SM Ebrahimi Saryazdi, R Unnthorsson, C Richter Fermentation 7 (2), 61	2021
Morphology, mechanism and kerf variation during CO2 laser cutting pine wood X Guo, M Deng, Y Hu, Y Wang, T Ye Journal of Manufacturing Processes 68, 13-22	2021
Tool wear monitoring by ensemble learning and sensor fusion using power, sound, vibration, and AE signals V Nasir, S Dibaji, K Alaswad, J Cool Manufacturing Letters 30, 32-38	2021
Sensor fusion and random forest modeling for identifying frozen and green wood during lumber manufacturing V Nasir, M Kooshkbaghi, J Cool Manufacturing Letters 26, 53-58	2020

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