Role of Artificial Intelligence and Deep Learning in Easier Skin Cancer Detection through Antioxidants Present in Food by Sreevidya R. C., Jalaja G, Sajitha N, D. Lakshmi Padmaja, S. Nagaprasad, Kumud Pant, Yekula Prasanna Kumar

“…The major scope of the study is to analyze the major role played by the DL models through the big data network in the medical industry. The researchers also found that when additional characteristics are present, image resolution does not have the potential to reduce image accuracy, specificity, or sensitivity. …”
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Self-supervised model-informed deep learning for low-SNR SS-OCT domain transformation by Sajed Rakhshani, Amirali Arbab, Aref Habibi, Mohsen Pourazizi, Mahnoosh Tajmirriahi, Farnaz Sedighin, Hossein Rabbani

“…To refine its performance, the second step incorporates Principle Component Analysis (PCA) as self-supervised denoising strategy, eliminating the need for ground-truth noisy image data. …”
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Design of real-time transmission system for underwater panoramic camera based on RTSP. by Wenhui Wang, Yongqi Li, Rufei He

“…The experimental results show that the data transmission effect and quality of the system are good, and the average reprojection error of the calibrated image is 0.12 pixels; During the process of data collection and transmission, the effective time window of the eye diagram is the largest, and the waveform of the top-level data transmission tends to be stable with the smallest fluctuation amsplitude; Dynamically adjust the data transmission rate, control the network packet loss rate below 0.5%, and improve the real-time transmission efficiency of underwater data.…”
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Enhanced Domain Tuned Yolo-Driven Intelligent Fault Identification Method: Application in Selection and Construction of Gas Storage by BAI Xuefeng, ZHANG Fengyuan, ZOU Huanyu, HUANG Famu, LI Junlun, ZHAO Shijie, ZHANG Li, TANG Jizhou

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Application of Bispectral Technology and Deep Learning for Feature Extraction and Classification by Chuanshui Liu, Jing Yang, Xuan Zhan, Jianwen Chen

“…However, for raw signals, the unclear dominance of features, the weakness and sparsity of characteristic frequencies, and noise interference increase the difficulty of feature extraction from 1D data. Therefore, to address these issues and fully utilize the phase information of status signals, a bispectral technology and deep learning-network-based method for image feature extraction and classification recognition are proposed in this paper. …”
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HUMAN EMOTION RECOGNITION SYSTEM USING DEEP LEARNING ALGORITHMS by Kateryna Yuvchenko, Valentyn Yesilevskyi, Olena Sereda

“…Therefore, the purpose of the work is to find and optimize the most satisfactory in terms of accuracy algorithm for classifying human emotions based on facial images. The following tasks are solved: review and analysis of the current state of the problem of "recognition of emotions"; consideration of classification methods; choosing the best method for the given task; development of a software implementation for the classification of emotions; conducting an analysis of the work of the classifier, formulating conclusions about the work performed, based on the received data. …”
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Improving change detection performance with generative-adversarial augmentation of dataset by V. A. Knyaz, V. A. Knyaz, V. V. Kniaz, V. V. Kniaz, S. Yu. Zheltov

“…The main source of information used for maps updating is remote sensing, and the progress in sensors and methods of data analysis allows automatically retrieving the changes in observed scene from multi-time image series. …”
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Ensemble learning approach for prediction of early complications after radiotherapy for head and neck cancer using CT and MRI radiomic features by Benyamin Khajetash, Seied Rabi Mahdavi, Alireza Nikoofar, Lee Johnson, Meysam Tavakoli

“…Bilateral parotid radiomic features were extracted from CT, $$T_1$$ , and $$T_2$$ weighted MR images. Pearson statistical tests were used for selection of features and Random Tree (RT), Neural Network (NN), Linear Support Vector Machine (LSVM) and Bayesian Network (BN) classifiers were evaluated. …”
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An Investigation in Analyzing the Food Quality Well-Being for Lung Cancer Using Blockchain through CNN by Mohamed Abdelkader Aboamer, Mohamed Yacin Sikkandar, Sachin Gupta, Luis Vives, Kapil Joshi, Batyrkhan Omarov, Sitesh Kumar Singh

“…A linear regression analysis has been carried out in IBM SPSS where the independent variables selected are image dataset augmentation, epochs, features, pixel size (90 × 90 to 512 × 512), kernel size (0–7), filters (10–40), and padding. …”
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Deep Learning Technology for Weld Defects Classification Based on Transfer Learning and Activation Features by Chiraz Ajmi, Juan Zapata, Sabra Elferchichi, Abderrahmen Zaafouri, Kaouther Laabidi

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Assisted Diagnosis of Alzheimer’s Disease Based on Deep Learning and Multimodal Feature Fusion by Yu Wang, Xi Liu, Chongchong Yu

“…In this paper, a multimodal diagnosis method for AD based on three-dimensional shufflenet (3DShuffleNet) and principal component analysis network (PCANet) is proposed. First, the data on structural magnetic resonance imaging (sMRI) and functional magnetic resonance imaging (fMRI) are preprocessed to remove the influence resulting from the differences in image size and shape of different individuals, head movement, noise, and so on. …”
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Analisis Hasil Teknik Penyembunyian Hak Cipta Menggunakan Transformasi DCT dan RSPPMC pada Jejaring Sosial by Dwi Ely Kurniawan, Nanda Rachmat Hartadi, Purwono Prasetyawan

“…But on network media Instagram, Twitter and Whatsapp failed to be decoded again, because the social networking compression of image files.   …”
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Using Deep Learning Techniques to Enhance Blood Cell Detection in Patients with Leukemia by Mahwish Ilyas, Muhammad Bilal, Nadia Malik, Hikmat Ullah Khan, Muhammad Ramzan, Anam Naz

“…To accomplish this task, we use digital image processing techniques and then apply the convolutional neural network (CNN) deep learning algorithm to blood sample images. …”
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Analisis Pengaruh Citra Terhadap Kombinasi Kriptografi RSA dan STEGANOGRAFi LSB by Agus Rakhmadi Mido, Erik Iman Heri Ujianto

“…In this study, the technique is Rivest Shamir Adleman (RSA) Cryptographic algorithm and the Least Significant Bit (LSB) Steganography algorithm for message security. The analysis of an algorithmic combination in this research includes analysis of variable influence image of the encryption and decryption process. …”
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Advanced object detection for smart accessibility: a Yolov10 with marine predator algorithm to aid visually challenged people by Mahir Mohammed Sharif Adam, Hussah Nasser AlEisa, Samah Al Zanin, Radwa Marzouk

“…Computer vision (CV) involves the automated extraction, understanding, and analysis of valuable information from a sequence of images or a single image. …”
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Manifold and spatiotemporal learning on multispectral unoccupied aerial system imagery for phenotype prediction by Fared Farag, Trevis D. Huggins, Jeremy D. Edwards, Anna M. McClung, Ahmed A. Hashem, Jason L. Causey, Emily S. Bellis

“…We observed similar performance on a held‐out growing season for a spatiotemporal model (a three‐dimensional convolutional neural network) trained on raw images compared to simpler workflows using dimension reduction of manually extracted features from temporal imagery (i.e., vegetation indices and image texture properties). …”
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Single view generalizable 3D reconstruction based on 3D Gaussian splatting by Kun Fang, Qinghui Zhang, Chenxia Wan, Pengtao Lv, Cheng Yuan

“…Among these studies, tasks involving sparse input data have been further classified, with the most challenging scenario being the reconstruction of 3D structures and synthesis of novel views from a single input image. …”
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Diagnosis of Schizophrenia Using Feature Extraction from EEG Signals Based on Markov Transition Fields and Deep Learning by Alka Jalan, Deepti Mishra, Marisha, Manjari Gupta

“…In this work, we have used the Markov Transition Field for converting EEG signals into two-dimensional images, capturing both the temporal patterns and statistical dynamics of the data. …”
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Dance Movement Recognition Based on Feature Expression and Attribute Mining by Xianfeng Zhai

“…Then, a two-way feature extraction network is designed, which extracts the details of the actions along the way and takes the sequence image as the input of the network. …”
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Destripe Any Scale: Effective Stripe Removal Via Multiscale Decomposition Using the Luojia3-02 Stripe-Noise Dataset by Ru Chen, Mi Wang, Yingdong Pi, Ru Wang, Tao Peng, Fan Yang, Rongfan Dai

“…This noise manifests as linear, repetitive patterns that degrade image quality and impede the accurate data analysis. …”
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