Synergistic use of handcrafted and deep learning features for tomato leaf disease classification by Mohamed Bouni, Badr Hssina, Khadija Douzi, Samira Douzi

“…Abstract This research introduces a Computer-Aided Diagnosis-system designed aimed at automated detections & classification of tomato leaf diseases, combining traditional handcrafted features with advanced deep learning techniques. The system’s process encompasses preprocessing, feature extraction, feature fusion, and classification. …”
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Fluorescence Spectroscopy and a Convolutional Neural Network for High-Accuracy Japanese Green Tea Origin Identification by Rikuto Akiyama, Kana Suzuki, Yvan Llave, Takashi Matsumoto

“…Future research will aim to extend the system to other regions and foods, enhance data preprocessing to improve accuracy, and develop a versatile identification system.…”
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ML-CKDP: Machine learning-based chronic kidney disease prediction with smart web application by Rajib Kumar Halder, Mohammed Nasir Uddin, Md. Ashraf Uddin, Sunil Aryal, Sajeeb Saha, Rakib Hossen, Sabbir Ahmed, Mohammad Abu Tareq Rony, Mosammat Farida Akter

“…The proposed model involves a comprehensive data preprocessing protocol, converting categorical variables to numerical values, imputing missing data, and normalizing via Min-Max scaling. …”
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Non-Invasive Localization of Epileptogenic Zone in Drug-Resistant Epilepsy Based on Time–Frequency Analysis and VGG Convolutional Neural Network by Yaqing Liu, Yalin Wang, Tiancheng Wang

“…After processing with CWT, the accuracy increased to 81.7% and the epileptogenic zone channel recognition rate increased to 81.4%. …”
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A Review of Hybrid Brain-Computer Interface Systems by Setare Amiri, Reza Fazel-Rezai, Vahid Asadpour

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Effects of Donor x Inducer Interaction on the Success of Haploid Induction and Comparison of Haploid Seed Identification Methods in the In vivo Maternal Haploid Technique in Maize by Berk Vural, Umut Songur, Sezgin Kızık, Fatih Kahrıman, Abdullah Dişbudak

“…The successful classification rates were 87%, 83%, and 79% in visual, spectral and image processing models, respectively. …”
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Quantum key distribution implemented with d-level time-bin entangled photons by Hao Yu, Stefania Sciara, Mario Chemnitz, Nicola Montaut, Benjamin Crockett, Bennet Fischer, Robin Helsten, Benjamin Wetzel, Thorsten A. Goebel, Ria G. Krämer, Brent E. Little, Sai T. Chu, Stefan Nolte, Zhiming Wang, José Azaña, William J. Munro, David J. Moss, Roberto Morandotti

“…Abstract High-dimensional photon states (qudits) are pivotal to enhance the information capacity, noise robustness, and data rates of quantum communications. Time-bin entangled qudits are promising candidates for implementing high-dimensional quantum communications over optical fiber networks with processing rates approaching those of classical telecommunications. …”
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WGCAMNet: Wasserstein Generative Adversarial Network Augmented and Custom Attention Mechanism Based Deep Neural Network for Enhanced Brain Tumor Detection and Classification by Fatema Binte Alam, Tahasin Ahmed Fahim, Md Asef, Md Azad Hossain, M. Ali Akber Dewan

“…This research presents a cutting-edge approach that employs advanced data augmentation and deep learning methodologies for brain tumor classification. …”
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Breast cancer image classification by using HCNN and LeNet5 by Pramoda Patro, Shaik Honey Fathima, R. Harikishore, Aditya Kumar Sahu

“…The breast cancer dataset, obtained from Kaggle, is used as the input data. A Wiener filter preprocessing technique is applied to enhance the image quality, with an active Wiener filter employed for this purpose. …”
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ResTUnet: A Novel Neural Network Model for Nowcasting Using Radar Echo Sequences by Ground-Based Remote Sensing by Lei Zhang, Ruoyang Zhang, Yu Wu, Yadong Wang, Yanfeng Zhang, Lijuan Zheng, Chongbin Xu, Xin Zuo, Zeyu Wang

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Development of wireless electronic nose and using of remote monitoring by HU Ying, WANG Jun

“…With sensors and synchronous transport signal increasing, we should pay attention to data accuracy and packet loss rate. This system used the CC2530 chip for 8-way wireless data transmission. …”
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Storage Tank Target Detection for Large-Scale Remote Sensing Images Based on YOLOv7-OT by Yong Wan, Zihao Zhan, Peng Ren, Lu Fan, Yu Liu, Ligang Li, Yongshou Dai

“…This model proposes a data pre-processing method of edge re-stitching for large-scale remote sensing images, which reduces the target loss caused by the edge of the image without losing the target information. …”
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A study on phonemes recognition method for Mandarin pronunciation based on improved Zipformer-RNN-T(Pruned) modeling. by Zhaohui Du, Xiaofeng Zhao, Lin Li, Baohua Yu, Lijiang Miao

“…First, the AISHELL1-PHONEME and ST-CMDS-PHONEME datasets for Mandarin phoneme recognition through data preprocessing. Then, three layers of the Zipformer Block architecture are introduced into the Zipformer encoder to significantly enhance model performance. …”
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APPLYING TRANSFORMER ARCHITECTURE TO ENHANCE ATTACK DETECTION PERFORMANCE IN INTRUSION DETECTION SYSTEMS by Vu Thi Phuong*, Hoang Thi Hong Ha, Dinh Gia Truong, Tran Thi Yen

“…The UNSW-NB15 dataset is utilized for model training and evaluation. The data preprocessing pipeline includes handling missing values, encoding categorical features, normalizing numerical features, and splitting stratified training and testing sets. …”
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Automatic identification and characteristics analysis of crack tips in rocks with prefabricated defects based on deep learning methods. by Mingtao Gao, Minhui Li, Lu Chen, Zihao Guo, Chengyang Guo, Liping Li, Changsen Bu

“…The microsecond-level expansion process of multi-directional cracks is monitored by utilizing an ultrafast camera in the rock specimens. …”
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Research on early fire source identification and anti-interference methods in mines based on dual-spectrum imaging technology by WANG Yanlin, PEI Xiaodong, WANG Kai, XU Guang

“…First, the YOLOv10 model was used for real-time fire source detection on visible light images, and infrared thermal imaging was employed to obtain temperature distribution data. Then, Canny edge detection and image binarization preprocessing were applied to eliminate imaging differences between visible light and infrared images. …”
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EVALUATION OF THE IMPACT OF AGRICULTURE-BASED INVESTMENTS ON SUSTAINABLE DEVELOPMENT: YOZGAT PROVINCE SAMPLE, TURKEY by Nizamettin ERBAS

“…Among these investments, there are sugar factory (2 units), Kabalı Integrated Orchard (Turkey's largest integrated orchard), geothermal greenhouses, flour production (12 units), milk and milk products (12 units), meat and meat products (11 units). and fruit and vegetable processing-packaging facilities (4 units). With investment depended on agriculture, there have been positive developments in per capita gross domestic product, employment, labor force participation rate and unemployment rate in the province. …”
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Application of adaptive filter in fruit quality inspection based on its acoustic properties by RAO Xiu-qin, YING Yi-bin

“…The processed signal was sampled at a rate of 10kHz with the data acquisition board PCL-1800 (Advantech Co., Ltd.). …”
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Reflux Dissolution of Thorium Dioxide in Nitric Acid by Zong-hui LU, Ting YU, Bin LI, Hui HE, Ye ZHANG

“…Data fitting yield an apparent reaction rate constant k of (0.132±0.007) min−1. …”
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Iris: A Next Generation Digital Pathology Rendering Engine by Ryan Erik Landvater, Ulysses Balis

“…Further, it is able to buffer and compute high-fidelity reduction-enhancements for viewing low-power cytology with increased visual quality at a rate of 100–160 μs per slide tile, and with a cumulative median buffering rate of 1.36 GB of decompressed image data per second. …”
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