ICP-OES Determination of Trace Metal Ions after Preconcentration Using Silica Gel Modified with 1,2-Dihydroxyanthraquinone by Reem M. Alghanmi

“…The optimum pH was 5 and the optimum extraction time was approximately 15 minutes using the batch method. …”
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Towards edge-collaborative, lightweight and privacy-preserving classification framework by Jinbo XIONG, Yongjie ZHOU, Renwan BI, Liang WAN, Youliang TIAN

“…Aiming at the problems of data leakage of perceptual image and computational inefficiency of privacy-preserving classification framework in edge-side computing environment, a lightweight and privacy-preserving classification framework (PPCF) was proposed to supports encryption feature extraction and classification, and achieve the goal of data transmission and computing security under the collaborative classification process of edge nodes.Firstly, a series of secure computing protocols were designed based on additive secret sharing.Furthermore, two non-collusive edge servers were used to perform secure convolution, secure batch normalization, secure activation, secure pooling and other deep neural network computing layers to realize PPCF.Theoretical and security analysis indicate that PPCF has excellent accuracy and proved to be security.Actual performance evaluation show that PPCF can achieve the same classification accuracy as plaintext environment.At the same time, compared with homomorphic encryption and multi-round iterative calculation schemes, PPCF has obvious advantages in terms of computational cost and communication overhead.…”
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Research on the Classification Method of Tea Tree Seeds Quality Based on Mid-Infrared Spectroscopy and Improved DenseNet by Di Deng, Hao Li, Jiawei Luo, Jiachen Jiang, Hongbo Mu

“…Aiming at the deficiencies of DenseNet121 in one-dimensional spectral processing, such as insufficient generalization ability and weak feature extraction, the ECA-DenseNet model was proposed. Based on DenseNet121, the Batch Channel Normalization (BCN) module was introduced to reduce the dimensionality via 1 × 1 convolution while preserving the feature extraction capabilities, the Attention–Convolution Mix (ACMix) module was integrated to combine convolution and self-attention, and the Efficient Channel Attention (ECA) mechanism was utilized to enhance the feature discriminability. …”
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GCS-YOLO: A Lightweight Detection Algorithm for Grape Leaf Diseases Based on Improved YOLOv8 by Qiang Hu, Yunhua Zhang

“…The lightweight feature extraction module C2f-GR is proposed to replace the C2f module. …”
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Bioconversion of Food and Green Waste into Valuable Compounds Using Solid-State Fermentation in Nonsterile Conditions by Daniela Bulgari, Emanuela Gobbi, Paolo Cortesi, Gregorio Peron

“…However, the efficient extraction of the desired products from these residues requires pretreatments. …”
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Single-stage separation and quantitation of anionic and cationic forms of transition metals from environmental water using organo-functionalized ordered mesoporous silica by Natalia Kobylinska

“…A simple methodology was proposed for the separation and quantitation of toxic heavy metals (Pb2+, Cr3+, Cu2+, Mn2+, Cd2+, CrO42- and MnO4-) in the fixed-bed column and batch adsorption experiments using functionalised mesoporous silicas. …”
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A Temporal Convolutional Network–Bidirectional Long Short-Term Memory (TCN-BiLSTM) Prediction Model for Temporal Faults in Industrial Equipment by Jinyin Bai, Wei Zhu, Shuhong Liu, Chenhao Ye, Peng Zheng, Xiangchen Wang

“…Then, the model employs an improved TCN layer and a BiLSTM layer for feature extraction and learning. The TCN layer incorporates batch normalization, an optimized activation function (Leaky ReLU), and a dropout mechanism to enhance its ability to capture multi-scale temporal features. …”
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A PLM-LCN Network-Based Model for e-Library Automatic Classification by Ke Lu, Bei Zheng, Jingjing Shi

“…In this study, a novel Chinese book classification model based on an enhanced BERT architecture is proposed, which contains a pre-trained language model (PLM) and a long-short-time convolutional neural network (LCN) for improved feature extraction. Experimental results showed that the model achieved up to 93.6% for Micro F1, 95.3% for Macro F1, 90% for Mac-P, and 91% for Mic-P with an input text length of 256 and a batch size of 32. …”
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Preparations of magnetic molecularly imprinted polymer for selective recognition and determination of 4-methylimidazole in soft beverage by high performance liquid chromatography by Helin Ye, Xiaofen Chen, Zufei Feng

“…The magnetic molecularly imprinted polymers had been synthesized for the selective extraction and clean-up of 4-methylimidazole in cola, the most popular soft beverage. …”
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A Novel Active Learning Approach for Improving Classification of Unlabeled Video Based on Deep Learning Techniques by Mohamed Salama

“…Specifically, we develop batch mode AL techniques that select useful videos based on uncertainty and diversity sampling. …”
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Robust Deep Neural Network for Classification of Diseases from Paddy Fields by Karthick Mookkandi, Malaya Kumar Nath

“…To understand the feature extraction ability of the modules, extracted features at different stages are fed to the SVM classifier to obtain the classification accuracy. …”
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Coffee Leaves Valorization through a Metabolomic Approach by Davide Rovelli, Ada Nucci, Bianca Serito, Chiara Dall’Asta

“…Moreover, through the application of chemometrics on the spectral information, it is possible to highlight the main similarities or differences in the batch that could change according to their origin or the post-harvest process as well as discover new molecules with bioactive properties. …”
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BBSNet: An Intelligent Grading Method for Pork Freshness Based on Few-Shot Learning by Chao Liu, Jiayu Zhang, Kunjie Chen, Jichao Huang

“…BBSNet incorporates a batch channel normalization (BCN) layer to enhance feature distinguishability and employs BiFormer for optimized fine-grained feature extraction. …”
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End-to-End Architecture for Real-Time IoT Analytics and Predictive Maintenance Using Stream Processing and ML Pipelines by Ouiam Khattach, Omar Moussaoui, Mohammed Hassine

“…The system integrates Kafka-based message brokering for the high-throughput ingestion of real-time sensor data, with Apache Spark facilitating batch and stream extraction, transformation, and loading (ETL) processes. …”
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SPIFFNet: A Statistical Prediction Interval-Guided Feature Fusion Network for SAR and Optical Image Classification by Yingying Kong, Xin Ma

“…The problem of the feature extraction and fusion classification of optical and SAR data remains challenging due to the differences in optical and synthetic aperture radar (SAR) imaging mechanisms. …”
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An advanced three stage lightweight model for underwater human detection by Zichen Liao, Kai Hu, Yuancheng Meng, Shuai Shen

“…The proposed model incorporates several innovative components: a comprehensive underwater dataset construction methodology, a StarBlock-based backbone structure for efficient feature extraction, a Context Anchor Attention (CAA) mechanism integrated into both backbone and neck components, and a Shared Convolution Batch Normalization (SCBN) detection head. …”
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Development and Validation of a UHPLC-MS/MS Method for Ciprofol Detection in Plasma: Application in Clinical Pharmacokinetic Studies by Zhu J, Cao Y, Zhang X, Xu B

“…The quantification ion pairs were m/z 203.100→ 175.000 for ciprofol and m/z 209.100→ 181.100 for the internal standard.Results: Ciprofol exhibited excellent linearity across the concentration range of 5 to 5000 ng·mL⁻¹ (r > 0.999). The intra-batch and inter-batch precision values were within 4.30% to 8.28%, and the relative deviation ranged from − 2.15% to 6.03%. …”
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Assessment of the influence of the mineral complex of rutin on the degree of expression of anti-diabetic activity by V. I. Toporkova, E. V. Vishnyakov, K. O. Sidorov, I. I. Terninko, D. Yu. Ivkin

“…The complex of rutin with zinc was obtained according to the method described in the literature from the pharmaceutical substance rutin (Rutin, batch 332, valid until 26.03.2023, Sichuan Guangsong Pharmaceutical Co., Ltd., China, FS 000569-060514) and an aqueous solution (С = 0.13 mg/ml) zinc chloride (Zinc chloride, batch 39/G 4, valid until 09.10.2021, Neva Reaktiv, Russia, STP TU COMP 1-533-2012). …”
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Laboratory Leaching Tests to Investigate Mobilisation and Recovery of Metals from Geothermal Reservoirs by Máté Osvald, Andrew D. Kilpatrick, Christopher A. Rochelle, János Szanyi, Tamás Medgyes, Balázs Kóbor

“…The H2020 project “Combined Heat, Power and Metal extraction” (CHPM2030) aims at developing a novel technology which combines geothermal energy utilisation with the extraction of metals in a single interlinked process. …”
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Intelligent Defect Identification Based on PECT Signals and an Optimized Two-Dimensional Deep Convolutional Network by Baoling Liu, Jun He, Xiaocui Yuan, Huiling Hu, Xuan Zeng, Zhifang Zhu, Jie Peng

“…However, in conventional data-driven defect identification methods, the signal feature extraction is time consuming and requires expert experience. …”
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