A Portable Smartphone-Based 3D-Printed Biosensing Platform for Kidney Function Biomarker Quantification by Sangeeta Palekar, Sharayu Kalambe, Jayu Kalambe, Madhusudan B. Kulkarni, Manish Bhaiyya

“…Additionally, an Android application was developed to handle image processing and database management, providing a user-friendly interface for real-time blood analysis. …”
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Deep learning for air pollution detection: Analyzing scots pine needles with SEM/EDS by Mirosław Szwed, Witold Żukowski, Dariusz Pasieka

“…The use of artificial intelligence, using the analysis of surface images of selected air pollution indicators to build a machine learning algorithm, allowed to develop an inexpensive and effective method of identifying hazardous substances. …”
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Evaluation of an acne lesion detection and severity grading model for Chinese population in online and offline healthcare scenarios by Na Gao, Jiaping Wang, Zheng Zhao, Xiao Chu, Bin Lv, Gangwen Han, Yuan Ni, Guotong Xie

“…Although some artificial intelligence methods have been developed to automate the process of acne severity grading, the diversity of acne image capture sources and the various application scenarios can affect their performance. …”
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A comprehensive Malabar Spinach dataset for diseases classificationMendeley Data by Mushfiqur Rahman, Md Al Mamun

“…This study seeks to develop reliable disease detection models through the examination of different image processing techniques and deep learning algorithms such as ResNet50. …”
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Fine-art recognition using convolutional transformers by Yu Liu, Haozhe Bai, Jingchao Wang

“…Digital image processing is a constantly evolving field encompassing a wide range of techniques and applications. …”
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Robust sparse smooth principal component analysis for face reconstruction and recognition. by Jing Wang, Xiao Xie, Li Zhang, Jian Li, Hao Cai, Yan Feng

“…Existing Robust Sparse Principal Component Analysis (RSPCA) does not incorporate the two-dimensional spatial structure information of images. To address this issue, we introduce a smooth constraint that characterizes the spatial structure information of images into conventional RSPCA, generating a novel algorithm called Robust Sparse Smooth Principal Component Analysis (RSSPCA). …”
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Construction of Holographic Immersion Chamber Based on Multisource Information Fusion and Interactive Virtual Reality Technology by Chunying Wang, Yin Liu

“…It can be seen that the error of CCD image registration parameters calculated by this algorithm is smaller. …”
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Transformasi Lontar Babad Lombok Menuju Digitalisasi Berbasis Natural Gradient Flexible (NGF) by Muhammad Tajuddin Anwar, Syahroni Hidayat, Ahmat Adil

“…The results show that the application of the NGF-ICA algorithm can generate high-quality output images with average values of MSE, PSNR, SSIM, and increasing Entropy by 708, 19.95 dB, 0.87, and 0.45, respectively. …”
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A Synergy Between Machine Learning and Formal Concept Analysis for Crowd Detection by Anas M. Al-Oraiqat, Oleksandr Drieiev, Sattam Almatarneh, Mohammadnoor Injadat, Karim A. Al-Oraiqat, Hanna Drieieva, Yassin M. Y. Hasan

“…Recent systems take advantage of the synergy between machine learning, data mining, and image processing to extract/analyze features from crowded zones and recognize patterns and anomalies from the crowd behavior. …”
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A Framework for Determining the Big Five Personality Traits Using Machine Learning Classification through Graphology by null Samsuryadi, Rudi Kurniawan, Julian Supardi, null Sukemi, Fatma Susilawati Mohamad

“…Although various models and approaches have been developed in research related to automated graphology, there are still obstacles to overcome such as the selection of preprocessing techniques and image processing algorithms to extract handwriting features and proper classification techniques to get maximum accuracy. …”
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AN INTERFERENCE-IMMUNE COMMUNICATION SYSTEM FOR DIGITAL DATA TRANSMISSION BASED ON A MULTI-CHANNEL CORRELATOR Part 2. DEVELOPMENT OF A CORRELATION-TYPE TRANSCEIVER BASED ON A MULTI... by A. V. Varavin, G. P. Ermak, D. P. Kudryavtsev, O. S. Vasiliev, M. V. Balaban, S. S. Melnyk, V. M. Zheltov, O. V. Fateev

“…This includes testing and hardware checks for software solutions related to data reception, conversion, processing, and mapping. Results. An algorithm for generating and decoding signals of a sub-noise correlation communication system has been implemented, using the spreading signal method for data transmission with noise-like Gold-code-based signals. …”
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Design of an Intelligent Energy Management Prototype for an Electric Lighting Network on a Raspberry Pi Board by Jouahri Mohammed Amine, Moukhtari Manal, Oulhaj Nabil, Khimouj Mounir, Tajer Abdelouahed, Boulghasoul Zakaria

“…Traffic density is assessed in real time by an image processing system using the YOLOv8 algorithm, which identifies and counts vehicles captured by the cameras. …”
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ON COMPUTER METHODS OF AUTOMATED DETERMINATION OF INTERPLATE DISTANCES OF PEARLITE IN STEELS by A. N. Chichko, O. A. Sachok, V. F. Sobolev, S. G. Lihouzov, O. I. Chichko

“…The methods and algorithms of processing of images of the microstructures images, allowing on quantitative level to range microstructures of one type of steels, are developed in the present work.…”
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How deep learning identifies and learns aspects of plant for classification by Devi V. Sowmya, Pooja Govu, Ramya Sande, Priya Nakka Vishnu

“…To extract optimal features which are missed by the traditional methods to overcome this we took high quality snapshots with advanced image processing methods. Convolutional Neural Network (CNN) of supervised learning algorithm used along with the Keras and Tensorflow the features were analysed and deployed in Streamlit. …”
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Classification of Upper Bound Sequences of Local Fractional Metric Dimension of Rotationally Symmetric Hexagonal Planar Networks by Shahbaz Ali, Muhammad Khalid Mahmood, Fairouz Tchier, F. M. O. Tawfiq

“…In the field of computer science, metric dimensions are most useful in aspects such as image processing, navigation, pattern recognition, and integer programming problem. …”
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Secure transmission for IoT wireless energy-carrying communication systems. by Pingxin Wang, Zhen Jing, Zhi Zhang, Qing Wang, Congcong Li, Hongxia Zhu

“…In comparison to the conventional policy transmission scheme, the experimental results demonstrate that the DIPS (Digital Image Processing System) scheme can increase the STP (Signaling Transfer Point) by approximately 34.16 percent in the eavesdropper independent eavesdropping and joint eavesdropping scenarios. …”
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Forecast Model of TV Show Rating Based on Convolutional Neural Network by Lingfeng Wang

“…At present, convolutional neural networks have become a research hotspot in speech recognition, image recognition and classification, natural language processing, and other fields and have been widely and successfully applied in these fields. …”
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Assessment of the application of each multibeam echosounder data product for monitoring of Laminaria digitata in the UK by Jacob Berry, Cassandra Nanlal

“…An evaluation of different combinations of the MBES data products for kelp forest monitoring was carried out. An image-based processing methodology using a random forests algorithm was used to generate classification models, which were trained and tested using ground truth samples obtained through video imagery. …”
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Improved swin transformer-based thorax disease classification with optimal feature selection using chest X-ray. by Nadim Rana, Yahaya Coulibaly, Ayman Noor, Talal H Noor, Md Imran Alam, Zeba Khan, Ali Tahir, Mohammad Zubair Khan

“…Finally, the disease classification is performed using the novel Improved Swin Transformer (IMSTrans) model, which is designed to efficiently process high-dimensional medical image data and achieve superior classification performance. …”
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Deep Unified Model For Face Recognition Based on Convolution Neural Network and Edge Computing by Muhammad Zeeshan Khan, Saad Harous, Saleet Ul Hassan, Muhammad Usman Ghani Khan, Razi Iqbal, Shahid Mumtaz

“…The system can detect approximately 35 faces and recognizes 30 out of them from the single image of 40 students. The proposed system achieved 97.9% accuracy on the testing data. …”
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