Conditions for maximal regularity of solutions to fourth-order differential equations by Ye.O. Moldagali, K.N. Ospanov

“…The smoothness conditions imposed on the coefficients in this study are necessary for the existence of the adjoint operator. One notable feature of the results is that the constraints only apply to the coefficients themselves; no conditions are placed on their derivatives. …”
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Taxi origin and destination demand prediction based on deep learning: a review by Dan Peng, Mingxia Huang, Zhibo Xing

“…Next, we discuss ongoing challenges in OD prediction, such as dynamics, spatiotemporal dependence, semantic differentiation, time window selection, and data sparsity problems, and summarize and compare potential solutions to each challenge. …”
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Improving Boreal Summer Precipitation Predictions From the Global NMME Through Res34‐Unet by Xuan Tong, Wen Zhou, Jiangjiang Xia

“…Current seasonal forecasts are based mainly on numerical models, but raw forecasts suffer from systematic bias and under/overdispersion problems and cannot be directly used in applications. …”
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Identification method of canned food for production line sorting robot based on improved PSO-SVM by GAO Haiyan, GAO Jinyang, WANG Weicheng

“…The classifier was trained for both global and local features, and feature weight coefficients were dynamically assigned to obtain the best recognition rate. …”
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MSA K-BERT: A Method for Medical Text Intent Classification by Yujia Yuan, Guan Xi

“…However, existing methods suffer from problems such as low accuracy and a lack of knowledge supplementation. …”
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Unsupervised and Semi-Supervised Speech Recognition System: A Review by Mazin Al-Zakarya, Yusra Al-Irhaim

“…It looks at recent developments as well as problems in this area of study. This study looks into feature extraction, classifiers, and the structure of the speaker recognition system. …”
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Breast cancer pathology image recognition based on convolutional neural network. by Weijian Fang, Shuyu Tang, Dongfang Yan, Xiangguang Dai, Wei Zhang, Jiang Xiong

“…Then, using the Inception-ResNet V2 neural network model and transfer learning technology, features are extracted from pathological images, and a three-layer fully connected neural network is constructed for feature classification. …”
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ENVIRONMENTAL SAFETY INDEX: THE CONCEPT AND EVALUATION by G. Kharlamova, V. But'kovsky

“…The paper summarizes the theoretical aspects of ecological safety of Ukraine and its components, contains the analysis of environmental safety indexes compiled by international organizations, including the Commission on Sustainable Development UN, the International Institute for Sustainable Development (IISD), the Scientific Committee on Problems of the Environment (SCOPE), Yale University. …”
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Improved Asynchronous Federated Learning for Data Injection Pollution by Aiyou Li, Huoyou Li, Yanfang Liu, Guoli Ji

“…In view of the problems of data pollution, incomplete feature extraction, and poor multi-network parameter sharing and transmission under the federated learning framework of deep learning, this article proposes an improved asynchronous federated learning algorithm of multi-model fusion based on data injection pollution. …”
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Survey on vertical federated learning: algorithm, privacy and security by Jinyin CHEN, Rongchang LI, Guohan HUANG, Tao LIU, Haibin ZHENG, Yao CHENG

“…., model parameters, parameter gradients, embedding representation, etc.） applied to data distributed across various institutions.FL reduces the risk of privacy leakage, since raw data is not allowed to leave the institution.According to the difference in data distribution between institutions, FL is usually divided into horizontal federated learning （HFL）, vertical federated learning （VFL）, and federal transfer learning （TFL）.VFL is suitable for scenarios where institutions have the same sample space but different feature spaces and is widely used in fields such as medical diagnosis, financial and security of VFL.Although VFL performs well in real-world applications, it still faces many privacy and security challenges.To the best of our knowledge, no comprehensive survey has been conducted on privacy and security methods.The existing VFL was analyzed from four perspectives: the basic framework, communication mechanism, alignment mechanism, and label processing mechanism.Then the privacy and security risks faced by VFL and the related defense methods were introduced and analyzed.Additionally, the common data sets and indicators suitable for VFL and platform framework were presented.Considering the existing challenges and problems, the future direction and development trend of VFL were outlined, to provide a reference for the theoretical research of building an efficient, robust and safe VFL.…”
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Practical guide to SHAP analysis: Explaining supervised machine learning model predictions in drug development by Ana Victoria Ponce‐Bobadilla, Vanessa Schmitt, Corinna S. Maier, Sven Mensing, Sven Stodtmann

“…We address this issue by providing a practical guide to SHapley Additive exPlanations (SHAP), a popular feature‐based interpretability method, which can be seamlessly integrated into supervised ML models to gain a deeper understanding of their predictions, thereby enhancing their transparency and trustworthiness. …”
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Identifying Persons of Interest in Digital Forensics Using NLP-Based AI by Jonathan Adkins, Ali Al Bataineh, Majd Khalaf

“…Natural Language Processing (NLP) is a subdomain of research under AI that deals with problems involving unstructured data, specifically language. …”
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Digital Finance in the Context of Developing a Digital Human by Kornіvska Valerіia O.

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Method for Detecting Tiny Defects on Machined Surfaces of Mechanical Parts Based on Object Recognition by Haotian Li, Zhen Wang, Lipeng Qiu, Xichu Wei

“…Furthermore, upon acquiring high-resolution images of the machining surfaces with dimensional features, this study introduces a real-time sliding window method to perform segmented detection and classification of these images, transforming most of the target detection tasks into image classification problems, thereby further enhancing the efficiency and accuracy of defect detection and target localization. …”
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On the diagnosis of intrauterine listeriosis by A. A. Nafeev, V. I. Modnikova, V. V. Popov, N. P. Gorbikova, F. A. Sayfutdinova, O. A. Fakhrutdinova, A. A. Nafeevа

“…Intrauterine infections are one of the most pressing health problems. A feature of listeria infection is the possibility of penetration of the pathogen  through the placental barrier with the development of severe systemic  lesions and negative perinatal outcomes.Purpose: To describe the nonspecific morphological manifestations of listeria infection in the early stages of the disease in postnatal fetal death.Morphological confirmation of listeriosis is multiple productive-necrotic granulomas (listeriomas) with the presence of listeria in them in the form of straight, short, sometimes ovoid rods, located singly or in groups, identified by Gram-Weigert staining.…”
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Optimal Trajectory Tracking for Underactuated Systems via the Takagi–Sugeno Framework: An Autonomous Underwater Vehicle Mission Case Study by Georgios P. Kladis, Lefteris Doitsidis, Nikos C. Tsourveloudis

“…Autonomy of underwater vehicles has become an imperative feature due to increasingly challenging deep sea mission scenarios. …”
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Real-time Detection and Tracking for Operating Vehicles in Complex Mining Environments by KANG Gaoqiang, LIN Jun, LIU Shiwang, YUE Wei, XIONG Qunfang, TONG Hao

“…The model framework is constructed based on the lightweight backbone network YOLO combined with the multi-scale feature fusion module. The model uses DIoU as loss function, uses <italic>K</italic>-means clustering to regress the size of candidate frame, and learns image features through the lightweight backbone network. …”
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Enhanced frame expansion via configuring filterbank topology for rapid processing of multi-sensor vibration data with applications to turbo-machinery fault diag... by Wangpeng He, Yunyi Yan, Lu An, Wei Sun, Baolong Guo

“…The proposed enhanced frame expansion is applied to vibration feature extraction from multi-sensor data of a turbo-machinery. …”
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Learning Interactions between Rydberg Atoms by Olivier Simard, Anna Dawid, Joseph Tindall, Michel Ferrero, Anirvan M. Sengupta, Antoine Georges

“…Quantum simulators have the potential to solve quantum many-body problems that are beyond the reach of classical computers, especially when they feature long-range entanglement. …”
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Evaluation of the Decision Tree Model for Air Condition Classification on the Global Air Pollution Dataset by Cindy Dinda Sabella, Yoga Pristyanto

“…Air pollution is an urgent global environmental problem, with significant impacts on public health and ecosystem stability. …”
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