• Suche: Advanced Deep Learning with Python

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161

EffiResNet-SENet: An Optimization-assisted Deep Learning Approach for Range-based Wireless Sensor Network Localization.
Simon, Judy ; Kapileswar, Nellore ; Ravikanth, Sushkrutha Kuttuva ; et al.
Wireless Personal Communications; Aug2025, Vol. 143 Issue 3/4, p395-425, 31p

WIRELESS sensor networks DEEP learning OPTIMIZATION algorithms MATHEMATICAL optimizatio... FEATURE extraction LOCALIZATION theory
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162

A computer vision approach with OpenCV and deep learning for determining inductance in planar coils.
Benazzouz, Younes ; Guendouz, Djilalia
Military Technical Courier / Vojnotehnicki Glasnik. okt-dec2024, Vol. 72 Issue 4, p1645-1669. 25p.

CONVOLUTIONAL neural net... COMPUTER vision IMAGE processing LIBRARY technical servic... ELECTRIC inductance DEEP learning
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163

Advanced Machine Learning with Python
Hearty, John ; Hearty, John ; Hearty, John ; et al.

E-Ressource
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164

Deep-Sea Trenches of the Pacific Ocean: a Comparative Analysis of the Submarine Geomorphology Using Data Modeling by GMT, Python and R
Lemenkova, Polina ; Schmidt United Institute of Physics of the Earth [Moscow] (IPE) ; Russian Academy of Sciences [Moscow] (RAS)

Data analysis Modelling Programming languages Machine learning Deep learning Big data …
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165

A tutorial on automatic hyperparameter tuning of deep spectral modelling for regression and classification tasks
Passos, Dário ; Mishra, Puneet
In Chemometrics and Intelligent Laboratory Systems 15 April 2022 223

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166

Advanced Deep Learning Techniques
Yellapragada Sai Srinivasa Bharadwaj
EAI/Springer Innovations in Communication and Computing ISBN: 9783030665180

Buch
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167

Modeling topic evolution for scientific archives with deep learning
Modélisation de l'évolution de sujets pour les archives scientifiques par l'apprentissage profond
Rahimi, Hamed ; Bases de Données (BD) ; LIP6 ; et al.
Databases [cs.DB]. Sorbonne Université, 2024. English. ⟨NNT : 2024SORUS454⟩

Topic models Topic evolution Deep learning Natural language process... Large language models Graph neural networks …
Dissertation
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168

Real-Time Image Object Detection using YOLOv4-Tiny with Python GUI
Bhalodiya Dev Anilbhai, Asst. Prof. Ambrish Patel
International Journal of Sciences and Innovation Engineering; Vol. 2 No. 10 (2025): IJSCI VOLUME-02 ISSUE-10 OCTOBER 2025; 518-521 ; 3049-0251

Object Detection Computer Vision Intelligent Surveillance... Autonomous Driving Medical Image Analysis Industrial Automation …
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169

Geleneksel yaklaşımlardan derin öğrenmeye zaman serisi öngörü yöntemleri: Pyhton ve MATLAB uygulamaları
Bal, Cagatay ; Aladag, Cagdas Hakan
Volume: 18, Issue: 116-49
İstatistikçiler Dergisi:İstatistik ve Aktüerya
Journal of Statisticians: Statistics and Actuarial Sciences

İstatistik (Diğer) Statistical Analysis İstatistiksel Analiz Time series analysis Box-Jenkins Artificial neural networ... …
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170

Enhancing AI interpretation and decision-making: Integrating cognitive computational models with deep learning for advanced uncertain reasoning systems
Franciskus Antonius Alijoyo ; S. Janani ; Kathari Santosh ; et al.
Alexandria Engineering Journal, Vol 99, Iss , Pp 17-30 (2024)

Healthcare systems Uncertain reasoning syst... Decision-making AI interpretation Game theory Practical relevance …
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171

Image Processing and Machine Learning for Hyperspectral Unmixing: An Overview and the HySUPP Python Package
Rasti, Behnood ; Zouaoui, Alexandre ; Mairal, Julien ; et al.
ISSN: 0196-2892 ; IEEE Transactions on Geoscience and Remote Sensing ; https://hal.science/hal-04180307 ; IEEE Transactions on Geoscience and Remote Sensing, 2024, 62 (5517631), pp.1-31. ⟨10.1109/TGRS.2024.3393570⟩.

Abundance estimation Linear mixture Machine learning Deep learning Optimization Hyperspectral …
Fachzeitschrift
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172

BAGEL: Protein engineering via exploration of an energy landscape.
Lála, Jakub ; Al-Saffar, Ayham ; Angioletti-Uberti, Stefano
PLoS Computational Biology; 12/3/2025, Vol. 21 Issue 12, p1-24, 24p

PROTEIN engineering BIOTECHNOLOGY POTENTIAL energy surface... OPTIMIZATION algorithms THERAPEUTICS MULTI-objective optimiza... …
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173

Machine learning approaches for classification of colorectal cancer with and without feature selection method on microarray data
Nazari, Elham ; Aghemiri, Mehran ; Avan, Amir ; et al.
In Gene Reports December 2021 25

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174

Advanced ECG classification with improved optimized feature selection and attention CNN-BILSTM technique.
Kumari, K.S.Neelu ; Vijayabaskar, S. ; Praynlin, E. ; et al.
Biomedical Signal Processing & Control. Dec2025:Part A, Vol. 110, pN.PAG-N.PAG. 1p.

Electrocardiography Feature selection Machine learning Heart disease diagnosis Long short-term memory Deep learning …
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175

Predictive Modeling for Enhancing MOOC Completion Rates: A Case Study.
Buddhika, Muditha ; Karunarathne, Buddhika ; Nanayakkara, Vishaka
Proceedings of the European Conference on e-Learning (ECEL). 2024, Vol. 23 Issue 1, p43-51. 9p.

Massive open online cour... Higher education Student engagement Deep learning Data mining
Konferenz
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176

LSTM Based Multiple Squashing Functions Deep Learning Model for Advanced Traffic Management System Attack Detection
Chethana Dukkipati ; Yunpeng Zhang ; Liang-Chieh Cheng
2018 IEEE 14th International Conference on Control and Automation (ICCA). :417-422

0202 electrical engineer... 02 engineering and techn...
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177

pymia: A Python package for data handling and evaluation in deep learning-based medical image analysis
Jungo, Alain ; Scheidegger, Olivier ; Reyes, Mauricio ; et al.
In Computer Methods and Programs in Biomedicine January 2021 198

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178

An IoT-enabled AI system for real-time crop prediction using soil and weather data in precision agriculture
Sharafat, MD Shaifullah ; Kabya, Nilavro Das ; Emu, Rahimul Islam ; et al.
In Smart Agricultural Technology December 2025 12

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179

An efficient hybrid Hopfield convolutional neural network for detecting spam bots in Twitter platform
Kumar, A.V. Santhosh ; Kumar, N. Suresh ; Devi, R. Kanniga
In International Journal of Cognitive Computing in Engineering December 2025 6:569-587

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180

Convolution hierarchical deep-learning neural network (C-HiDeNN) with graphics processing unit (GPU) acceleration.
Park, Chanwook ; Lu, Ye ; Saha, Sourav ; et al.
Computational Mechanics. Aug2023, Vol. 72 Issue 2, p383-409. 27p.

GRAPHICS processing unit... FINITE element method PYTHON programming langu... DEGREES of freedom MANUFACTURING processes
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