Analysis of characteristic aroma components in famous Mengshan teas Mengding Ganlu and Mengshan Maofeng by GC-MS by Xu Jingyi, Chen Changhui, Zhou Fangyong, Du Xiao

“…The processing techniques of these two kinds of tea are typical of green tea processing. …”
Get full text

A lightweight scalable hybrid authentication framework for Internet of Medical Things (IoMT) using blockchain hyperledger consortium network with edge computing by Abdullah Ayub Khan, Asif Ali Laghari, Roobaea Alroobaea, Abdullah M. Baqasah, Majed Alsafyani, Hamed Alsufyani, Sajid Ullah

“…For secure authentication, Hyperledger ensures a permissioned, decentralized, and impenetrable environment, while edge computing lowers latency by processing data closer to IoMT devices. The proposed framework balances security and computing performance by utilizing a hybrid cryptographic technique, like NuCypher Threshold Proxy Re-Encryption. …”
Get full text

Fish Detection Using Deep Learning by Suxia Cui, Yu Zhou, Yonghui Wang, Lujun Zhai

“…To fit into this unique need, three optimization approaches were applied to the CNN: data augmentation, network simplification, and training process speed up. …”
Get full text

Classifying and diagnosing Alzheimer’s disease with deep learning using 6735 brain MRI images by Seyed Mohammad Mousavi, Khadijeh Moulaei, Leila Ahmadian

“…Deep convolutional neural networks trained on MRI data can enhance diagnostic precision. This study aims to utilize deep convolutional neural networks (CNNs) trained on MRI data for Alzheimer’s disease diagnosis and classification. …”
Get full text

Enhancing smart city sustainability with explainable federated learning for vehicular energy control by Khalid Ishaq Abdullah Almaazmi, Saif Jasim Almheiri, Muhammad Adnan Khan, Asghar Ali Shah, Sagheer Abbas, Munir Ahmad

“…Traditional centralized machine learning models and cloud-based Energy Management Systems (EMSs) struggle with real-time adaptability, high-dimensional data processing, and data privacy risks. These issues lead to high costs, excessive energy waste, and regulatory concerns. …”
Get full text

Transfer Learning based Image Classification of Diseased Tomato Leaves with Optimal Fine-Tuning combined with Heat Map Visualization by Sivakumar Palanıswamy, Vijayakumar Vaıthyam Rengarajan, Sandhya Devi Ramıah Subburaj

“…It is presumed that the implementation of deep learning algorithms demands a large amount of data to learn complex features automatically and this can pose a challenge for applications with lesser data to achieve generalization. …”
Get full text

Emerging technologies and applications in multimodality imaging for ischemic heart disease: current state and future of artificial intelligence by Praveen Kumar Chandra Sekar, Ramakrishnan Veerabathiran

“…AI algorithms can optimize image acquisition, processing, and interpretation of complex imaging data. …”
Get full text

Technical note: An approach for handling multiple temporal frequencies with different input dimensions using a single LSTM cell by E. Acuña Espinoza, F. Kratzert, D. Klotz, D. Klotz, M. Gauch, M. Álvarez Chaves, R. Loritz, U. Ehret

“…Moreover, the MF-LSTM architecture reported a 5 times reduction in processing time compared to models trained exclusively on hourly data.…”
Get full text

BERT-based network for intrusion detection system by Yong Yang, Xing Peng

“…The core of our approach lies in converting network traffic data into textual representations that can be processed by applying advanced NLP techniques. …”
Get full text

A User-Friendly Machine Learning Pipeline for Automated Leaf Segmentation in by Michelle Lynn Yung, Kamila Murawska-Wlodarczyk, Alicja Babst-Kostecka, Raina Margaret Maier, Nirav Merchant, Aikseng Ooi

“…The pipeline integrates a fine-tuned Mask Region-based Convolutional Neural Network (Mask R-CNN) segmentation model trained on 176 plant images and achieves high performance despite the small training data set (Dice coefficient = 0.781). We quantitatively compare the fine-tuned Mask R-CNN model to Meta AI’s Segment Anything Model (SAM) and evaluate natural language prompts using Grounded SAM and the Leaf-Only SAM post-processing pipeline for refining segmentation outputs. …”
Get full text

Smart indoor monitoring for disabled individuals using an ensemble of deep learning models in an IoT environment by Faisal S. Alsubaei, Abdulrahman A. Alshdadi, Mohammed Rizwanullah

“…Internet of Things (IoT) based health systems have an important part in medical assistance and help in enhancing data processing and its prediction. Communicating data or reports requires more time and energy, in addition to causing energy problems and greater latency. …”
Get full text

A review of quantum communication and information networks with advanced cryptographic applications using machine learning, deep learning techniques by R. Ramya, P. Kumar, D. Dhanasekaran, R. Satheesh Kumar, S. Amithesh Sharavan

“…Quantum communication and information networks offer unprecedented processing efficiency and security for data transfers. …”
Get full text

Hybrid AI-Powered Real-Time Distributed Denial of Service Detection and Traffic Monitoring for Software-Defined-Based Vehicular Ad Hoc Networks: A New Paradigm for Securing Intelli... by Onur Polat, Saadin Oyucu, Muammer Türkoğlu, Hüseyin Polat, Ahmet Aksoz, Fahri Yardımcı

“…The proposed attack detection methodology involves the collection of network traffic data, data processing, and the classification of these data. …”
Get full text

Camouflage Using Surface Disruption: The Importance of Corners Versus Edges by Ruby McLellan, Vanessa K. Bowden, Troy A. W. Visser, Jennifer L. Kelley

“…Most of the variation in our data was explained by the spatial and temporal structure of the data, owing to different predator communities and seasonal variation in predation risk. …”
Get full text

Joint classification and regression with deep multi task learning model using conventional based patch extraction for brain disease diagnosis by Padmapriya K., Ezhumalai Periyathambi

“…For pre-processing system uses an edge detector, which is canny edge detector. …”
Get full text

Elastic net with Bayesian Density Estimation model for feature selection for photovoltaic energy prediction by Venkatachalam Mohanasundaram, Balamurugan Rangaswamy

“…Considering comprehensive data preliminary processing, FS, and validation, ELNET-BDE outperforms existing methods. …”
Get full text

Evaluating Medical Entity Recognition in Health Care: Entity Model Quantitative Study by Shengyu Liu, Anran Wang, Xiaolei Xiu, Ming Zhong, Sizhu Wu

“…The evaluation focused on prediction accuracy, resource use (eg, central processing unit and graphics processing unit use), and the impact of fine-tuning hyperparameters. …”
Get full text

Research Progress in Monitoring Technology of Cold Chain Logistics for Meat Products by Bin HAN, Dongmei LENG, Yuqian XU, Jianyang SHEN, Xin LI, Xiaochun ZHENG, Wei WANG, Dequan ZHANG, Chengli HOU

“…Advanced technologies like big data, the internet of things, and artificial intelligence are becoming widely used as Industry 4.0 technology, which develops quickly. …”
Get full text

Comprehensive analysis of TMEM9 in human tumors by Xuezhong Zhang, Lele Zhou, Shumin Wei, Xuebin Zhang

“…Methods TMEM9 expression was analyzed in normal and tumor tissues using data from the TCGA and GTEx databases, with protein expression verified via CPTAC datasets. …”
Get full text

Enhanced leukemia prediction using hybrid ant colony and ant lion optimization for gene selection and classification by Santhakumar D, Gnanajeyaraman Rajaram, Elankavi R, Viswanath J, Govindharaj I, Raja J

“…Gene selection plays a crucial role in the pre-processing of microarray data, aiming to identify a small set of genes that enhances classification accuracy and reduces costs. …”
Get full text