Systematic mapping study of tools to identify emotions and personality traits by Amanul Islam, Nurul Fazmidar Mohd Noor, Siti Soraya Abdul Rahman

“…This Systematic Mapping Study, based on a review of research articles from reputable journals, presents tools that use a variety of data sources such as text analysis, face recognition, gestures, and heart rate monitoring. …”
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Integrated Intelligent System for Rail Flaw Detection Vehicle by Xiangyang ZHANG, Jiangping LUO

“…However, the existing domestic ultrasonic system architecture platform has the phenomenon of data congestion and computer crash when it is used in the detection of complex railway sections, which leads to the missing detection of sections. …”
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Spatial attention-guided pre-trained networks for accurate identification of crop diseases by Satrughan Kumar, S. S. Aravinth, Sreedhar Kollem, Munish Kumar, Quadri Noorulhasan Naveed, Azath Mubarakali, Abhishek Bhattacherjee, Addisu Frinjo Emma

“…To further improve the adaptability, the proposed method incorporates a preprocessing and data augmentation techniques. Together, these enhancements create a more effective process for identifying disease pattern in wide range of plant species. …”
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Analysis of Value Added Distribution of Brown Sugar (Saka) Agroindustry in Bukik Batabuah Village Canduang Sub-district Agam Regency by Nadia Firnalista, Nofialdi Nofialdi, Zednita Azriani

“…The data were collected from six brown sugar processing home industries. …”
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The Bio-Uptaking and Fermenting Characteristics of Various Lignocellulose-Digested Mono- and Oligo-Saccharides by <i>Bacillus subtilis</i> by Liang Wu, Yong Xu

“…In total, <i>B. subtilis</i> had a 0.56–0.90 g/g cell yield from corncob-digested saccharides and the highest saccharide-uptaking rate of 98%. This study provides critical insights and experimental data to advance lignocellulosic biorefinery technologies, particularly for probiotics production and simplification of enzymatic hydrolysis, as well as the potential application in high value-added XOS biopurification.…”
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Optimized wavelength selection for eggplant seed vitality classification using information acquisition techniques by Bing Yang, Xuyang Liu, Dongfang Zhang, Dongfang Zhang, Xiaofei Fan, Xiaofei Fan, Bo Peng, Jun Zhang, Jun Zhang

“…The seeds underwent microwave heating and constant-temperature water bath aging treatments. Data preprocessing involved three techniques: Multiplicative Scatter Correction (MSC), Savitzky–Golay (SG) smoothing, and Standard Normal Variate (SNV) transformation. …”
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A Model for Diagnosing Mild Nutrient Stress in Facility-Grown Tomatoes Throughout the Entire Growth Cycle by Yunpeng Yuan, Guoxiang Sun, Guangyu Chen, Qihua Zhang, Lingwei Liang

“…The CNN + LSTM model showed a diagnostic accuracy rate of 66.72% in the N-excess classification task. …”
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Retracted: Image Target Detection Algorithm of Smart City Management Cases by Ping Tan, Kedun Mao, Sheng Zhou

“…The ultra-spectral target detection algorithm extracts some content indicators from the initial data, and finally realizes the optimization of the algorithm. …”
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Rice husk biochar: production and sorption properties by O. Kupriyashkina

“…Rice husk processing is not only a global problem, but also an acute one in Ukraine - utilization and processing of rice husks into a targeted secondary product is an urgent and promising task, given the volume of their accumulation. …”
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Introduction to Special Thematic Issue, part 2 "Microsaccades: Empirical Research and Methodological Advances“ by Rudolf Groner

“…Data analysis revealed an increased level of microsaccade rate for stimuli of high visual demand (i.e. abstract figures), while mental demand (n-back-level) did not modulate microsaccade rate. …”
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IoT-Enabled Livestock Health Monitoring Systems to Improve Efficiency and Reduce Mortality by Shnain Ammar Hameed, Ameer S. Abdul, Krishna PVVSSR

“…Real time data collection and processing is done by the IoT enabled livestock health monitoring system by means of heart rate and temperature sensors together with a Raspberry Pi. …”
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Variational quantum classifier-based early identification and classification of chronic kidney disease using sparse autoencoder and LASSO shrinkage by P. Parthasarathi, Haya Mesfer Alshahrani, K. Venkatachalam, Jaehyuk Cho

“…The proposed research comprises four phases: data pre-processing, data augmentation, feature selection, and classification. …”
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Domain Adaptation for Pedestrian Detection Based on Prediction Consistency by Yu Li-ping, Tang Huan-ling, An Zhi-yong

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Precise irrigation of dryland cotton under canal irrigation system constraints based on the CERES-CROPGRO-Cotton model by Lei Wang, Liang He, Weihong Sun, Chen Gao, Zhenxiang Han, Meiwei Lin

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Music Therapy Methods Based on SVM and MLP by Hongmin Zou

“…In this paper, a convolutional neural network (CNN) based data processing model for fetal heart rate curves is proposed to improve the accuracy of fetal status assessment. …”
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Real-time driver drowsiness detection using transformer architectures: a novel deep learning approach by Osama F. Hassan, Ahmed F. Ibrahim, Ahmed Gomaa, M. A. Makhlouf, B. Hafiz

“…The proposed methodology addresses key challenges in drowsiness detection by integrating advanced data preprocessing techniques, including image normalization, augmentation, and region-of-interest selection using Haar Cascade classifiers. …”
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Toward Real-Time Recognition of Continuous Indian Sign Language: A Multi-Modal Approach Using RGB and Pose by M. Geetha, Neena Aloysius, Darshik A. Somasundaran, Amritha Raghunath, Prema Nedungadi

“…Our approach introduces a novel pre-processing technique to down-sample video streams, ensuring compatibility with varying frame rates across different devices. …”
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Comparison of Methods for Assessing the Assimilation Capacity of the Kazakhstani Sector of the Ili River by A. T. Nurseitova, J. K. Jamalov, A. A. Azimov, D. B. Nurseitov, E. A. Tursunov

“…A mixed inverse problem for determining the biochemical oxygen demand of water (L0) and the rate of biochemical oxygen consumption (k0), which are important indicators of water quality, has been formulated and numerically solved based on real experimental data. …”
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Multi-camera video collaborative analysis method based on edge computing by Zhibo QI, Lei DU, Ru HUO, Fan YANG, Tao HUANG

“…In order to reduce the processing volume of multi-camera real-time video data in smart city scenarios, a video collaborative analysis method based on machine learning algorithms at the edge was proposed.Firstly, for the important objects detected by each camera, different key windows were designed to filter the region of interest (RoI) in the video, reduce the video data volume and extract its features.Then, based on the extracted data features, the same objects in the videos from different cameras were annotated, and a strategy for calculating the association degree value between cameras was designed for further reducing the video data volume.Finally, the GC-ReID algorithm based on graph convolutional network (GCN) and re-identification (ReID) was proposed, aiming at achieving the collaborative analysis of multi-camera videos.The experimental results show that proposed method can effectively reduce the system latency and improve the video compression rate while ensuring the high accuracy, compared with the existing video analysis methods.…”
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Performance Optimization for (NG-RoF) Systems: Mitigating Nonlinear Effects in Long-Distance Transmission by Ahmed Jasim Obaid, Hassan K. Al-Musawi, Majid Valizadeh

“…All these are in need of high data rate and wide coverage in respect to mobile communication, and it thus needs an advanced generation to meet these performances as dictated by the end users. …”
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