Adaptive Blind Stokes-Space Based Equalizer for RSOP in SV-DD Systems With High Chromatic Dispersion Tolerance by Yu Jin, Di Li, Pin Yi, Mengfan Cheng, Songnian Fu, Ming Tang, Deming Liu, Lei Deng

“…It is worth noticing that not only CD but also high-order modulation formats could not change the paraboloid distribution. …”
Get full text

Segmentation of Leukoaraiosis on Noncontrast Head CT Using CT‐MRI Paired Data Without Human Annotation by Wi‐Sun Ryu, Jae W. Song, Jae‐Sung Lim, Ju Hyung Lee, Leonard Sunwoo, Dongmin Kim, Dong‐Eog Kim, Hee‐Joon Bae, Myungjae Lee, Beom Joon Kim

“…We developed and validated a deep learning algorithm for LA segmentation using CT‐MRIFLAIR paired data from a multicenter Korean registry and tested it in a US dataset. …”
Get full text

Enhancing Privacy in IoT Networks: A Comparative Analysis of Classification and Defense Methods by Ahmet Emre Ergun, Ozgu Can, Murat Kantarcioglu

“…Additionally, the Decision Tree (DT), Random Forest (RF), k-Nearest Neighbors (kNN), and GRU classification algorithms are also evaluated and compared with the XGBoost and LSTM classifiers for the proposed attack model. …”
Get full text

Visceral obesity anthropometric indicators as predictors of acute pancreatitis severity by Kaier Gu, Wenxuan Shang, Dingzhou Wang

Get full text

A Miniaturized and Intelligent Lensless Holographic Imaging System With Auto-Focusing and Deep Learning-Based Object Detection for Label-Free Cell Classification by Jin Chen, Wentao Han, Liangzun Fu, Zhihang Lv, Haotian Chen, Wenjing Fang, Jiale Hou, Haohan Yu, Xiwei Huang, Lingling Sun

“…We also use a deep learning-based object detection neural network to classify different types of cells from the focused holographic images without the need for cell segmentation. …”
Get full text

BLACK HUMOUR: ORIGIN DESCRIPTION AND AN ATTEMPT OF IDENTIFICATION by Iryna A. Blynova.

“…Dahl’s creative method, whose poetics is characterised by a clearly expressed black-humorous component. The article also specifies the algorithm for identifying black humour in prose works, which involves the use of three groups of analysis methods (linguistic, semasiological and communicative). …”
Get full text

Evapotranspiration Dynamics and Partitioning in a Grassed Vineyard: Ecophysiological and Computational Modeling Approaches by Flávio Bastos Campos, Torben Oliver Callesen, Carina Verónica Gonzalez, Giorgio Alberti, Leonardo Montagnani, Massimo Tagliavini, Jacob A. Nelson, Damiano Zanotelli

“…A top‐down approach combined the eddy covariance method to estimate ETEC, and the Transpiration Estimation Algorithm method to partition it. A bottom‐up approach integrated the understorey evapotranspiration (ETu) with modeled vines transpiration (Tv(mod)). …”
Get full text

Accurate Prediction of 327 Rice Variety Growth Period Based on Unmanned Aerial Vehicle Multispectral Remote Sensing by Zixuan Qiu, Hao Liu, Lu Wang, Shuaibo Shao, Can Chen, Zijia Liu, Song Liang, Cai Wang, Bing Cao

“…The accuracy of the rice growth stage prediction model in recognizing different rice varieties also showed some variation, with the root mean square error between 0.506 and 3.373 days, the relative root mean square error between 2.555% and 14.660%, the Bias between1.126 and 2.358 days, and the relative Bias between 0.787% and 9.397%; therefore, the growth stage prediction model of rice varieties can be used to effectively improve the prediction accuracy of the growth stage periods of rice.…”
Get full text

Identifying network state-based Parkinson’s disease subtypes using clustering and support vector machine models by Benedictor Alexander Nguchu, Benedictor Alexander Nguchu, Yifei Han, Yanming Wang, Peter Shaw

“…IntroductionParkinson’s disease (PD) heterogeneity poses challenges to the current development of discovering the best therapeutic targets.MethodsHere, we employ K-means and hierarchical clustering algorithms on data from the Parkinson’s Progression Markers Initiative (PPMI) to identify network-specific patterns that describe PD subtypes using the optimal number of brain features. …”
Get full text

The study of thermodynamic mechanisms of advection-cooled sea fogs for two cases based on the WRF model by Xin-Ya Ye, Fei-Fei Shen, Fei-Fei Shen, Fei-Fei Shen, Hai-Yan Fei, Qi-Long Sun, Ai-Qing Shu, Shen Wan, He Chen

“…The accuracy of fog extent prediction was also evaluated using the FSL (based on relative humidity) and SW99 (based on cloud-water mixing ratio) visibility algorithms.ResultsBoth fog events were driven by advection cooling but exhibited distinct thermodynamic profiles. …”
Get full text

Geospatial parametric approach for identifying optimal sites for wind-solar hybrid energy systems by Nyange Augustine Mbufua, Pascalin Tiam Kapen, François Ngapgue, Armand Nzeukou Takougang

“…Across parameters, the synergy between the criteria weights and geospatial context drove robust differentiation of potential energy sites. The results also highlight that high-altitude, stable, and accessible terrains in the study area offer the best opportunities for implementation. …”
Get full text

Assessing training needs and influencing factors among personnel at centers for disease control and prevention in northeast China: a cross-sectional study framed by SDT and TPB usi... by Kexin Wang, Peng Wang, Min Wei, Yanping Wang, Huan Liu, Ruiqian Zhuge, Qunkai Wang, Nan Meng, Yiran Gao, Yuxuan Wang, Lijun Gao, Jingjing Liu, Xin Zhang, Mingli Jiao, Qunhong Wu

“…Latent Class Analysis was used to analyze competency subgroups covering professional abilities, general abilities, and management abilities. Boruta algorithm was used to select feature and improve the performance of the following predictive models. …”
Get full text

Application of Collective Intelligence of Artificial Bee Colony Algorithm in Optimization of Estimation and Zoning of Wind Erosion Intensity Using Geomorphological data (Case Study... by Mehdi Saghafi, Moohamadali Moodaresi

“…The center of erosion in the investigated area, that is the critical part of the region in terms of erosion, was also identified. Finally using multivariable statistical methods, the centers and spatial pattern of zones which were obtained by both models were compered. 3- Results and Discussion About 47% of the area of wind erosion classes in IRIFR model moved to higher erosion classes in bee colony algorithm. …”
Get full text

A Tunnel Crack Detection Method Based on an Unmanned Aerial Vehicle (UAV) Equipped with a High-Speed Camera and Crack Recognition Algorithm Using Improved Multi-Scale Retinex and P... by Wei Sun, Xiaohu Liu, Zhiyong Lei

“…In order to solve the problems of low efficiency and accuracy in the traditional detection of tunnel cracks, this paper proposes a tunnel crack detection method based on a UAV (unmanned aerial vehicle) equipped with a high-speed camera and a crack recognition algorithm using the improved multi-scale Retinex (MSR) algorithm and the Prewitt–Otsu algorithm, aiming to improve the accuracy and efficiency of detection. …”
Get full text

Ecological Momentary Assessment of emotional dysregulation and outbursts among youth with ADHD: a feasibility study of a biomarker-driven predictive algorithm in the special educat... by Ripudaman (Zeeba) Singh, Janav Panchal, Sami Ali, Beth Krone, Isaac J. Wert, Mark Owens, Mark Stein, Maulik V. Shah

Get full text

Research on the Integrated Scheduling of Imaging and Data Transmission for Earth Observation Satellites by Guanfei Yu, Kunlun Zhang

“…The scheduling process also takes into account the constraints of satellite energy and storage capacity. …”
Get full text

Investigating the impact of the OOP-SOLVE application on the user’s behavior using the technology acceptance model in the programming course by Sohail Iqbal Malik, Roy Mathew, Ragad M. Tawafak, Ghaliya Al-Farsi, Abir Al-Sideiri

“…Lecturers also agreed that the application can be a supporting teaching tool in the OOP course.…”
Get full text

Analyzing the Transformation of Journalism Practices Driven by the Rise of Social Media Platforms by Xiang Li, Haoyuan Pan, Jianlin Yao

“…The results show that although social media provides new tools for use and democratizes information sharing, it also fosters misinformation, decreased media credibility, and ethical dilemmas with information a concerns about their involvement also arise. …”
Get full text

Implementing semiclassical Szegedy walks in classical-quantum circuits for homomorphic encryption by Sergio A Ortega, Pablo Fernández, Miguel A Martin-Delgado

“…Our approach eliminates the need for exponential key preparation by calculating keys in real-time during simulation, leading to a linear complexity in classically controlled gates. We also investigate the $T/T^{\dagger}$ -gate complexity associated with various quantum walks, particularly Szegedy quantum and semiclassical algorithms, demonstrating efficient homomorphic implementations across different graph structures. …”
Get full text

Calculation of Neural Network Weights and Biases Using Particle Swarm Optimization by Jerin Paul Selvan, Girish Pandurang Potdar

“…Various machine learning techniques and algorithms have been used to address, and are still being used to tackle, several real-world issues. …”
Get full text