Target recognition in diverse synthetic aperture radar image datasets with low size weight and power processing hardware by Richard O. Lane, Wendy J. Holmes, Timothy Lamont‐Smith

“…We describe a process to merge measured environmental SAR scene images with target image chips to produce a large dataset for training deep learning algorithms. …”
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Img2Neuro: brain-trained neural activity encoders for enhanced object recognition by Mona A Aboelnaga, Mohamed W El-Kharashi, Seif Eldawlatly

“…In our experiments, we examined the classification performance when Img2Neuro is used as a feature extractor compared to using the images as direct input to the classifier, using five different classifiers; namely, linear discriminant analysis, perceptron, logistic regression, ridge classifier, and a single-layer neural network. …”
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Analysis of Mammography BI-RADS Distribution and Follow-up Ultrasound Assessment: A Single-Center Study by Kankaya B, Buyukasik S, Altundal YE, Topcu FS, Rahmanbakhsh P, Etemad A, Kapan S, Alis H

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Deep Learning-Enhanced Spectrogram Analysis for Anatomical Region Classification in Biomedical Signals by Abdul Karim, Semin Ryu, In cheol Jeong

“…The proposed approach leverages a fine-tuned ResNet50 model, pre-trained on ImageNet, and adapted for a single-channel spectrogram input to ensure robust feature extraction and high classification accuracy. …”
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Classification Analysis of Blended Copper Concentrate Tablet Combustion Behavior by High-speed Imaging of Suspended Combustion Test and Convolutional Neural Network by Shungo NATSUI, Yuko GOTO, Jun-ichi TAKAHASHI, Hiroshi NOGAMI

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Joint Classification of Hyperspectral and LiDAR Data via Multiprobability Decision Fusion Method by Tao Chen, Sizuo Chen, Luying Chen, Huayue Chen, Bochuan Zheng, Wu Deng

“…Unlike single-source remote sensing image data, multisource remote sensing image data can provide complementary information for the same feature, promoting its recognition. …”
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Evaluation of Image Processing Technique on Quality Properties of Chickpea Seeds (Cicer arietinum L.) Using Machine Learning Algorithms by Halil Kırnak, Necati Çetin, İhsan Serkan Varol

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Recognition of underlying surface using a convolutional neural network on a single-board computer by D. A. Paulenka, V. A. Kovalev, E. V. Snezhko, V. A. Liauchuk, E. I. Pechkovsky

“…The device has the size 5.2×7.4×3.1 cm, the weight52 g, runs on a Raspberry Pi Zero Wireless single-board microcomputer and uses a convolutional neural network based on MobileNetV2 architecture for real-time image classification. …”
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Abnormality detection in nailfold capillary images using deep learning with EfficientNet and cascade transfer learning by Mona Ebadi Jalal, Omar S. Emam, Cristián Castillo-Olea, Begoña García-Zapirain, Adel Elmaghraby

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Application of Hyperspectral Imaging and Deep Convolutional Neural Network for Freezing Damage Identification on Embryo and Endosperm Side of Single Corn Seed by Jun Zhang, Limin Dai

“…In this paper, the feasibility of identifying freezing damage on the endosperm side and embryo side of single corn seeds was studied by combining hyperspectral imaging technology and the deep convolutional neural network (DCNN) method. …”
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AI in 2D Mammography: Improving Breast Cancer Screening Accuracy by Sebastian Ciurescu, Simona Cerbu, Ciprian Nicușor Dima, Florina Borozan, Raluca Pârvănescu, Diana-Gabriela Ilaș, Cosmin Cîtu, Corina Vernic, Ioan Sas

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Energy aware computer vision algorithm deployment on heterogeneous architectures by Teymoor Ali, Deepayan Bhowmik, Robert Nicol

“…We benchmark feature detection and image classification algorithms on heterogeneous systems and their discrete accelerator counterparts. …”
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Development of agricultural pests detection and identification system based on the technology of wireless transmission by Song Gelian, Han Ruizhen, Zhang Yonghua, He Yong

“…In structure, every single platform includes function modules like image acquisition, image processing, feature extraction and classification, GPS and transmission module. …”
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PolSAR-MPIformer: A Vision Transformer Based on Mixed Patch Interaction for Dual-Frequency PolSAR Image Adaptive Fusion Classification by Xinyue Xin, Ming Li, Yan Wu, Xiang Li, Peng Zhang, Dazhi Xu

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An Ensemble Deep CNN Approach for Power Quality Disturbance Classification: A Technological Route Towards Smart Cities Using Image-Based Transfer by Mirza Ateeq Ahmed Baig, Naeem Iqbal Ratyal, Adil Amin, Umar Jamil, Sheroze Liaquat, Haris M. Khalid, Muhammad Fahad Zia

“…As an outcome of this work, it is demonstrated that ResNet-50 with the SE mechanism is a viable choice as a single classification model, while an ensemble approach further increases the generalized performance for PQD classification.…”
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Abnormal traffic detection based on image recognition and attention-residual optimization by Pengfei Wang, Xinpeng Chen, Jinan Shen, Zhenwu Xu, Fang Liang, Qiuyang Du

“…The attention module and residual network enhance the focus on abnormal points, reducing feature loss and redundancy, thereby achieving effective classification of traffic image processing. We conducted experiments on the CIC-IDS2017 and UNSW-NB15 datasets and compared our model with the latest research models. …”
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A Practical Multimodal Fusion System With Uncertainty Modeling for Robust Visual and Affective Applications by Lei Pan, Xingyu Han, Xiaoming Liu, Yang Liu

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YOLOv8-Based Estimation of Estrus in Sows Through Reproductive Organ Swelling Analysis Using a Single Camera by Iyad Almadani, Mohammed Abuhussein, Aaron L. Robinson

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Supervised Semantic Segmentation of Urban Area Using SAR by Joanna Pluto-Kossakowska, Sandhi Wangiyana

“…The results indicate that the single-polarization X-band is more suitable for this classification despite the presence of more SAR features in the C-band with dual polarization.…”
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IBERBIRDS: A dataset of flying bird species present in the Iberian PeninsulaZenodo by Paula Rodríguez, Rubén Parte, Guillermo A. González, Alejandra Gacho, Darío Santos, Rubén Usamentiaga, Oscar D. Pedrayes

“…This process included homogenizing color profiles and formats, as well as manual refinement to ensure that each image contains a single bird specimen. …”
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