Design of real-time transmission system for underwater panoramic camera based on RTSP. by Wenhui Wang, Yongqi Li, Rufei He

“…The experimental results show that the data transmission effect and quality of the system are good, and the average reprojection error of the calibrated image is 0.12 pixels; During the process of data collection and transmission, the effective time window of the eye diagram is the largest, and the waveform of the top-level data transmission tends to be stable with the smallest fluctuation amsplitude; Dynamically adjust the data transmission rate, control the network packet loss rate below 0.5%, and improve the real-time transmission efficiency of underwater data.…”
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Performance of the ALICE Zero Degree Calorimeters in LHC Run 3 by Zugravel Stefan Cristi

“…The presence of electromagnetic dissociation (EMD) processes makes the ZDC operating conditions extremely challenging, raising the readout rate for the channels of the most exposed calorimeters up to 1.4 Mevents/s, compared to an hadronic rate of about 50 Kevents/s sustained by all other detectors. …”
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A borehole image dataset for the intelligent identification of structural planes by Yi Cheng, Zengqiang Han, Yuyong Jiao, Shuangyuan Chen, Chao Wang

“…These images underwent systematic preprocessing including data cleaning, image cropping and adjustment, rigorous annotation and verification protocols, resulting in a curated dataset of 708 borehole images. …”
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Machine learning framework for oxytetracycline removal using nanostructured cupric oxide supported on magnetic chitosan alginate biocomposite by Hassan Rasoulzadeh, Hossein Azarpira, Mojtaba Pourakbar, Amir Sheikhmohammadi, Alieh Rezagholizade-shirvan

“…The Tikhonov model demonstrates high accuracy with R2 values of 0.973 for training data and 0.958 for testing data, showcasing strong generalization capabilities, while maintaining low error rates, as evidenced by RMSE and MAE values of 4.62 and 3.65 for training data, and 5.04 and 4.21 for testing data, respectively. …”
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Brain Tumor Classification Using an Ensemble of Deep Learning Techniques by S Gopal Krishna Patro, Nikhil Govil, Surabhi Saxena, Brojo Kishore Mishra, Abu Taha Zamani, Achraf Ben Miled, Nikhat Parveen, Hashim Elshafie, Mosab Hamdan

“…The proposed ensemble framework begins with the image preprocessing of the brain MRI to enhance the quality of images. …”
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Implementation of mobile EEG for resting-state and visual evoked potentials in young children in rural Ethiopia by Theresa I. Chin, Theresa I. Chin, Theresa I. Chin, Winko W. An, Winko W. An, Kalkidan Yibeltal, Firehiwot Workneh, Stephen Pihl, Sarah K. G. Jensen, Sarah K. G. Jensen, Gellila Asmamaw, Nebiyou Fasil, Atsede Teklehaimanot, Krysten North, Krysten North, Sonya V. Troller-Renfree, Charles A. Nelson, Charles A. Nelson, Yemane Berhane, Anne CC Lee, Anne CC Lee, Anne CC Lee

“…Culturally sensitive child behavior management techniques were also critical to ensure EEG completion and high data quality. With community sensitization, we had high consent rates for EEG/VEP (>90%). …”
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Rapid detection and quantification of Nile Red-stained microplastic particles in sediment samples by Masashi Tsuchiya, Tomo Kitahashi, Yosuke Taira, Hitoshi Saito, Kazumasa Oguri, Ryota Nakajima, Dhugal J. Lindsay, Katsunori Fujikura

“…In this study, we demonstrated the utility of the developed system by comparing its recovery rate and analysis time with those of the conventional methods used for manual processing. …”
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Optimal Task Offloading Strategy for Vehicular Networks in Mixed Coverage Scenarios by Xuewen He, Yuhao Cen, Yinsheng Liao, Xin Chen, Chao Yang

“…The main constraint is that the data transmission rates of users should satisfy the quality of service. …”
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Near real-time LOD prediction using ConvLSTM model through integrating IGS rapid LOD and effective angular momentum by Kehao Yu, Xiaoya Wang, Zhao Li, Jian Wang, Lihua Li, Weiping Jiang, Kai Yang, Jingwen Long, Yunzhao Li

“…It is not adequate for fields requiring strict real-time data processing and applications, such as precise tracking and navigation of interplanetary spacecraft, global navigation satellite system (GNSS) meteorology, real-time precision orbit determination of artificial satellites, real-time kinematic (RTK) positioning and so on. …”
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Research on navigation method in closed-canopy orchard based on 3D LiDAR by Zhigang ZHANG, Kaiyuan BAO, Wenyu ZHANG, Fan DING, Zongyi TONG, Fukang ZHOU

“…For laser point cloud preprocessing, mounting error calibration of the liDAR was initially conducted. …”
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Optimization of SVM Parameters with Hybrid CS-PSO Algorithms for Parkinson’s Disease in LabVIEW Environment by Duygu Kaya

“…The hybrid model shows that the accuracy of the performance achieved is 97.4359%. Also, the data classification results obtained by using SVM parameters determined by optimization are measured by precision, recall, F1 score, false positive rate (FPR), false discovery rate (FDR), false negative rate (FNR), negative predictive value (NPV), and Matthews’ correlation coefficient (MCC) parameters.…”
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Soluble Soybean Polysaccharide Improves Quality and Shelf Life of Peanut Butter by Liangchen Zhang, Liyou Zheng, Jian Sun, Sameh A. Korma, Fahad Al-Asmari, Mengxi Xie, Miao Yu

“…Both the model predictions and experimental data confirmed that SSPS addition effectively extends the shelf life of peanut butter.…”
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The Neural Basis of Salt Perception: A Focus on Potassium Chloride as a Sodium Alternative by Emilia Iannilli, Raffaela Fürer, Antje Welge-Lüssen, Thomas Hummel

“…High-density EEG data revealed distinct microstate patterns associated with each condition, particularly in the later stages of processing, which align with the endogenous phases of taste perception. …”
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NEW MID-SEASON SPRING BARLEY CULTIVAR OMSKY 101 by P. N. Nikolaev, O. A. Yusova, N. I. Aniskov, I. V. Safonova, J. V. Ryapolova

“…Mathematical data processing complied with B. A. Dospekhov’s guidelines.Results. …”
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Econometric analysis and modeling of the dynamics of the balance of payments’ development in Azerbaijan by N. S. Ayyubova

“…With differences of the first and second degree, the stationarity of the autoregressive model was determined based on the Student’s criterion by changing the lag value. In the process of modeling, the initially constructed model, covering the years 1995-2017 with five factors such as foreign investment, exports, imports, manat exchange rate, general investments, showed insufficient adequacy, that is, non-stationarity of the current account series of the balance of payments. …”
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Integrated feature selection-based stacking ensemble model using optimized hyperparameters to predict breast cancer with smart web application by Rajib Kumar Halder, Marzana Akter Lima, Mohammed Nasir Uddin, Md.Aminul Islam, Adri Saha

“…Early detection is paramount as it significantly improves survival rates and reduces the complexity and cost of treatment. …”
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Malicious code within model detection method based on model similarity by Degang WANG, Yi SUN, Chuanxin ZHOU, Qi GAO, Fan YANG

“…The privacy of user data in federated learning is mainly protected by exchanging model parameters instead of source data.However, federated learning still encounters many security challenges.Extensive research has been conducted to enhance model privacy and detect malicious model attacks.Nevertheless, the issue of risk-spreading through malicious code propagation during the frequent exchange of model data in the federated learning process has received limited attention.To address this issue, a method for detecting malicious code within models, based on model similarity, was proposed.By analyzing the iterative process of local and global models in federated learning, a model distance calculation method was introduced to quantify the similarity between models.Subsequently, the presence of a model carrying malicious code is detected based on the similarity between client models.Experimental results demonstrate the effectiveness of the proposed detection method.For a 178MB model containing 0.375MB embedded malicious code in a training set that is independent and identically distributed, the detection method achieves a true rate of 82.9% and a false positive rate of 1.8%.With 0.75MB of malicious code embedded in the model, the detection method achieves a true rate of 96.6% and a false positive rate of 0.38%.In the case of a non-independent and non-identically distributed training set, the accuracy of the detection method improves as the rate of malicious code embedding and the number of federated learning training rounds increase.Even when the malicious code is encrypted, the accuracy of the proposed detection method still achieves over 90%.In a multi-attacker scenario, the detection method maintains an accuracy of approximately 90% regardless of whether the number of attackers is known or unknown.…”
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Classification and Time-Frequency Localization of Arbitrary LPWAN Signals With Radial Deformable DETR by Chun Ho Kong, Haibo Hu

“…We devise an attention radius suitable for processing Low Power Wide Area Network (LPWAN) Spectrogram traces extracted from Software Defined Radios (SDRs) IQ data with Short-Time Fourier Transform (STFT). …”
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Effects of Different Treatments on Storage Stability and Flavor Characteristics of Wheat Germ by Zihan SHAO, Xun GONG, Yu SONG, Shu TAO, Ying HONG, Chao LIU, Jiaqi ZHU, Mingchun WANG, Lei CAO, Jinxia YE, Kaixuan MA

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Research on distributed multi-access edge computing based on mimic defense theory by Hongyi ZHU, Xiaoyuan LU, Yi LI

“…The highly efficient network resources are provided by multi-access edge computing at the edge of the network,but high security capability is required also due to its distributed position and organization.Based on mimic defense theory,mimic defense structure for distributed multi-access edge computing was proposed.By segmenting data,padding check data and processing data at multiple edge node,dynamic scheduling and decision-making functions according to checksum were implemented.The simulation results show that with the increase of delay cost,the data manipulation and leak rates can be reduced effectively by the proposed structure.The edge node scheduling strategy based on trust and cost is proposed to improve the efficiency and security of the system.…”
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