Improved food recognition using a refined ResNet50 architecture with improved fully connected layers by Pouya Bohlol, Soleiman Hosseinpour, Mahmoud Soltani Firouz

“…The effect of Hyper-parameters such as data augmentation, batch size, image size, and learning rate on performance of Resnet50 were analyzed. …”
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Contact-Free Cognitive Load Recognition Based on Eye Movement by Xin Liu, Tong Chen, Guoqiang Xie, Guangyuan Liu

“…Twelve salient features of the eye movement were selected by using statistic test. Algorithms for processing some features are proposed for increasing the recognition rate. …”
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Authentication of honey origin and harvesting year based on Raman spectroscopy and chemometrics by Maria David, Dana Alina Magdas

“…In this study, the use of a green, rapid and emerging approach for food authentication, FT-Raman spectroscopy, proved to obtain reliable and efficient honey botanical and harvesting year differentiation models, when the spectroscopic data was processed by employing a supervised statistical method, namely Partial Least Squares Discriminant Analysis (PLS-DA). …”
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OPTIMIZATION OF THE MEASURING BASE OF THERMAL TAG FLOW METERS by M. S. Gayazov, R. K. Yarullin, D. V. Kosmylin

“…The work was carried out in conditions of single-phase and two-phase fluid flow. The algorithm of data processing for constructing distribution curves of the flow profile with output to the total low rate has been developed. …”
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Personal Identification with Iris Patterns by Mazin Khalil, Mahmood Majeed, Raid Omar

“…First: applying image processing techniques on the picture of an eye for data acquisition. …”
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Multiuser cyclic shift keying spread spectrum underwater acoustic communication by Cheng-bing HE, Shao-jing JING, Fei HUA, Rui XI, Rui-yu ZHANG, Wen-tao SHI, Qun-fei ZHANG

“…Aiming at the problem of low data rate and high receiver complexity of existing direct sequence spread spectrum code division multiple access (DS-CDMA),a novel code division multiple access (CDMA) using cyclic shift keying (CSK) signaling,namely CSK-CDMA,was proposed for multiuser underwater acoustic communication.The proposed method used the cyclic correlation characteristic of spread spectrum signals with M-ary modulation to provide a higher data rate than conventional.Passive time reversal technology was employed to suppress inter-code interference between users and the co-channel interference.The quasi-orthogonality of spread spectrum code was used to improve the processing gain.Multiuser communications are demonstrated with lake experimental recorded data under the condition of 5.27 km distance and complex multipath interference.The data rate is 39 bit/s/user for 6 users with bit error rate around 10^-2～10^-4.…”
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Comparison of the Reflectivities from Precipitation Measurement Radar Onboard the FY-3G Satellite and Ground-Based S-Band Dual-Polarization Radars by Rui He, Hong Li, Jingyao Luo, Hao Huang, Yijie Zhu

“…In addition, FY-3G PMR agrees with GR well in moderate precipitation, but systematically underestimates reflectivity in heavy rain rates and overestimates in light rain rates. Furthermore, FY-3G PMR has high accuracy in detecting liquid precipitation below the bright band, although with some underestimation of reflectivity for ice-phase precipitation above the bright band. …”
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IoT driven smart health monitoring for heart disease prediction using quantum kernel enhanced sardine diffusion and CNN by Dibas Kumar Hembram, Satya Narayan Tripathy, CH Narsimha Reddy, Debabrata Dansana, Quadri Noorulhasan Naveed, Shafat khan, Mohammed Kareemullah, Addisu Frinjo Emma

“…The system is capable of continuously monitoring heart-related data such as ECG and heart rate via IoT sensors. …”
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A prediction method for anti-cancer drug combinations synergy based on graph attention network by QIN Weiqi;BAO Xin;CHEN Xiao;QIU Jianlong;WANG Donglin

“…Initially, the model converts drug simplified molecular input line entry system(SMILES) into molecular graphs and fingerprint data while preprocessing cancer cell line data. It then employs a graph attention network(GAT) and multilayer perceptron(MLP) to extract features from both drug and cell line data, fusing these multi-source features to predict combination synergy. …”
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A new trauma severity scoring system adapted to wearable monitoring: A pilot study. by Alice Lemarquand, Pierre Jannot, Léo Kammerlocher, Gaëlle Lissorgues, Michel Behr, Pierre-Jean Arnoux, Salah Boussen

“…An approach to processing the physiological data is to develop severity scoring systems to quantify the critical level of an individual's health status. …”
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Synchronized stepwise control of firing and learning thresholds in a spiking randomly connected neural network toward hardware implementation by Kumiko Nomura, Yoshifumi Nishi

“…Spiking randomly connected neural network (RNN) hardware is promising as ultimately low power devices for temporal data processing at the edge. Although the potential of RNNs for temporal data processing has been demonstrated, randomness of the network architecture often causes performance degradation. …”
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Energy optimization in intelligent sensor networks: application of particle swarm optimization algorithm in the deployment of electronic information sensing nodes by Wang Liang

“…A Scalable coverage-based particle swarm optimization (SCPSO) algorithm integrates a probabilistic coverage model based on Euclidean distance to detect coverage gaps and guide the optimal positioning of nodes, ensuring that each target within the region of interest is covered by at least one sensor. Data preprocessing, including Z-score normalization and Independent Component Analysis (ICA), ensures feature scaling and dimensionality reduction for improved model performance, enabling effective optimization. …”
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The analysis of strategic management decisions and corporate competitiveness based on artificial intelligence by Yang Pu, Hao Li, Wenjia Hou, Xingchen Pan

“…Second, the hybrid model is developed and trained through steps including data collection and preprocessing, algorithm selection and model construction, as well as model training and validation. …”
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A Novel Machine Learning for Ethanol and Methanol Classification with Capacitive Soil Moisture (CSM) Sensors by Devina Intan Sari, Suryasatriya Trihandaru, Hanna Arini Parhusip

“…The method involved placing evaporated samples on CSM plates and measuring the change in evaporative dielectric properties over time. The data were then processed using Python, preprocessing data, splitting data, and training various classifiers with key differentiators based on standard deviation, mean, difference, and cumulative summary. …”
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Virtual Simulation of Pedicle Screw Placement Based on GPU Acceleration by XUE Bao-shan, ZHANG Feng-feng, YAN Xiao-jian, CHEN Jun

“…The results of comparative experiments show that: In the conventional virtual simulation system，the visual refresh rate is about 10 Hz，and the tactile refresh rate is about 50 Hz. …”
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A review of portability of fault diagnosis methods from PEM fuel cells to PEM water electrolyzers by Ruyi Wang, Jiangong Zhu, Haoyu Zhang, Chao Wang, Xiaoping Wu, Ming Wu, Jianqiang Xu, Hao Yuan, Wei Liu, Haifeng Dai, Xuezhe Wei

“…Moreover, both systems can acquire essential sensor data—including voltage, current, temperature, and flow rate—offering crucial data support for the transfer of these fault diagnosis methods. …”
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Personalized trajectory inference framework integrating driving behavior recognition and temporal dependency learning. by Jinhao Yang, Junwen Cao, Mingyu Fang

“…The framework operates through three rigorously designed stages: (1)Data preprocessing involving kinematics feature extraction, (2)Driving style recognition utilizing acceleration variation rate and average time headway combined with K-Means++ traffic density clustering and K-neighbor Gaussian mixture model (K-GMM) analysis to classify driving behaviors into conservative, moderate, and radical categories, and (3)Personalized trajectory prediction employing a multi-level neural architecture with dedicated sub-networks for distinct driving styles. …”
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Application of unified microprocessor relay protection units in electrical machine diagnostics by V. I. Polishchuk, M. V. Kritsky, D. M. Bannov, S. V. Malyshev

“…They also presented the results of experiments for the breakage in the short-circuit rotor of an asynchronous motor and proved that the microprocessor-based BMRZ device is capable of digitizing at a sampling rate that meets the requirements, and in conjunction with the data processing algorithms that carry out the selective determination of hard-to-detect defects, is applicable in the diagnosis of electrical machines.…”
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Real-Time and Secure Wireless Health Monitoring by S. Dağtaş, G. Pekhteryev, Z. Şahinoğlu, H. Çam, N. Challa

“…This device is also designed to perform some basic processing such as the heart rate and fatal failure detection. …”
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EEG channels selection for stroke patients rehabilitation using equilibrium optimizer by Al-Betar Mohammed Azmi, Alyasseri Zaid Abdi Alkareem, Makhadmeh Sharif Naser

“…The EO algorithm is utilized to represent the EEG channel selection problem, transforming the features of each individual EEG into binary values and subsequently applying a k-nearest neighbor classifier technique to determine the accuracy rate. The proposed method demonstrates superior performance, achieving the highest accuracy rate of 99% with the HFD features, compared to the existing methods. …”
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