Detection of Militia Object in Libya by Using YOLO Transfer Learning
Jurnal Teknologi dan Manajemen Informatika, 2020 Humans can recognize and classify shapes, names, and provide responses to object that are received by visually quickly and accurately. More importantly, it is expected that the system created is able to help provide response in all tasks and time, for ...
Yosi Kristian +2 more
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Artificial Intelligence-Based Teleopthalmology Application for Diagnosis of Diabetics Retinopathy
IEEE Open Journal of Engineering in Medicine and Biology, 2022 Diabetic Retinopathy (DR) is one of the leading causes of blindness for people who have diabetes in the world. However, early detection of this disease can essentially decrease its effects on the patient.
S. Ghouali +6 more
doaj +1 more source
Neural Network Method of Text Classification of Social Network Vkontakte
Современные информационные технологии и IT-образование, 2020 Classification of text data using neural networks is used in numerous projects. Different structures of artificial neural networks with varying parameters can be used.
Konstantin Nikolaev +2 more
doaj +1 more source
Pendeteksi Golongan Darah Manusia Berbasis Tensorflow menggunakan ESP32-CAM
Jurnal Elkomika, 2021 ABSTRAK Pendeteksian golongan darah dilakukan untuk mengetahui golongan darah yang dimiliki. Hingga saat ini pendeteksian golongan darah masih dilakukan oleh petugas analis kesehatan menggunakan kemampuan mata manusia.
HUMMAM GHASSAN GHIFARI +2 more
doaj +1 more source
Tensorflow Audio Models in Essentia [PDF]
ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2020 Essentia is a reference open-source C++/Python library for audio and music analysis. In this work, we present a set of algorithms that employ TensorFlow in Essentia, allow predictions with pre-trained deep learning models, and are designed to offer flexibility of use, easy extensibility, and real-time inference.
Alonso-Jiménez, Pablo +3 more
openaire +2 more sources
A TensorFlow Extension Framework for Optimized Generation of Hardware CNN Inference Engines
Technologies, 2020 The workloads of Convolutional Neural Networks (CNNs) exhibit a streaming nature that makes them attractive for reconfigurable architectures such as the Field-Programmable Gate Arrays (FPGAs), while their increased need for low-power and speed has ...
Vasileios Leon +5 more
doaj +1 more source
Navigation and Guidance for Autonomous Quadcopter Drones Using Deep Learning on Indoor Corridors
Jurnal Jaringan Telekomunikasi, 2022 Autonomous drones require accurate navigation and localization algorithms to carry out their duties. Outdoors drones can utilize GPS for navigation and localization systems. However, GPS is often unreliable or not available at all indoors.
Ahmad Wilda Yulianto +2 more
doaj +1 more source
How Do Deep-Learning Framework Versions Affect the Reproducibility of Neural Network Models?
Machine Learning and Knowledge Extraction, 2022 In the last decade, industry’s demand for deep learning (DL) has increased due to its high performance in complex scenarios. Due to the DL method’s complexity, experts and non-experts rely on blackbox software packages such as Tensorflow and Pytorch. The
Mostafa Shahriari +2 more
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Programming multi-level quantum gates in disordered computing reservoirs via machine learning and TensorFlow [PDF]
, 2019 Novel machine learning computational tools open new perspectives for quantum information systems. Here we adopt the open-source programming library TensorFlow to design multi-level quantum gates including a computing reservoir represented by a random ...
Conti, Claudio +4 more
core +6 more sources
Sistem Pengenalan Botol Plastik Berdasarkan Label Merek Menggunakan Faster-RCNN
Techno, 2020 Penumpukan botol plastik saat ini sudah tidak terkendali sehingga mengakibatkan polusi pada lingkungan. Sampah botol plastik saat ini dapat ditukar dengan imbalan yang beragam.
Arief Setyo Nugroho +2 more
doaj +1 more source