Development of a Baby Cry Identification System Using a Raspberry Pi-Based Embedded System and Machine Learning by Mohcin Mekhfioui, Wiam Fadel, Fatima Ezzahra Hammouch, Oussama Laayati, Marouan Bouchouirbat, Nabil El Bazi, Amal Satif, Tarik Boujiha, Ahmed Chebak

“…An embedded solution based on a Raspberry Pi is presented to address this problem. The module analyzes audio techniques to capture, analyze, classify, and remotely monitor a baby’s cries. …”
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A Grave Monument From The Seljuk Era: Halil Dede Tomb by Esra Tokat

“…This situation brings with it the problem of dating for structures that do not have a construction inscription or are not mentioned in any written record. …”
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Analysis of the Customer Churn Prediction Project in the Hotel Industry Based on Text Mining and the Random Forest Algorithm by Leila Taherkhani, Amir Daneshvar, Hossein Amoozad Khalili, Mohamad Reza Sanaei

“…In this research, an approach based on text mining on customers’ comments in the Persian language is presented, which uses the random forest algorithm for classification that was considered the most effective method to solve this problem. In this model, to increase the efficiency of the proposed method in compare with existing works, the gravitational search algorithm was used to select the useful features, and the differential evolution algorithm was used to adjust the parameters of the classification method. …”
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Molecular characteristics of anaplastic astrocytomas and isolation of molecular subgroups of their IDH1 mutant forms using in silico analysis by P. V. Nikitin, A. Yu. Belyaev, M. V. Ryzhov

“…Aim. The problem of anaplastic astrocytomas is quite relevant today. …”
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Creative History of M. Yu. Lermontov’s Poem “Dispute” (1841) in Cultural and Historical Context by I. A. Kiselyova, K. A. Potashova, E. A. Sechenych

“…The urgency of the problem is associated with the need to clarify the features of Lermontov’s thinking; his work, being a reflection of the real pictures of his time, has a visionary potential. …”
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Factor Analysis for Finding Invariant Neural Descriptors of Human Emotions by Vitor Pereira, Filipe Tavares, Petya Mihaylova, Valeri Mladenov, Petia Georgieva

“…Building subject-independent models is a harder problem due to the high data variability between different subjects and different experiments with the same subject. …”
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National Variability of German Language in Field of Lexical Compatibility (by Material of Austrian and Swiss Collocations) by L. B. Kopchuk

“…The author’s attention is drawn to two problem areas of modern linguistics: the study of lexical compatibility and further development of the concept of national variability of the German language. …”
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Increasing the Classification Achievement of Steel Surface Defects by Applying a Specific Deep Strategy and a New Image Processing Approach by Fatih Demir, Koray Sener Parlak

“…A new deep learning model called the Parallel Attention–Residual CNN (PARC) model was constructed to extract deep features concurrently by training residual structures and attention. …”
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THE NATURA 2000 NETWORK IN SPAIN AND ITS LACK OF PROTECTION by Manuel Cabalar FUENTES, Miguel Pazos OTÓN, Francisco José Armas QUINTÁ, Xosé Carlos Macía ARCE

“… Protected Natural Areas are one of the most frequently used tools for preserving the main natural features of a territory. Over time their focus has evolved from a prevalence of basically aesthetic criteria (spectacular landscapes with picturesque features such as high mountains, thickly wooded forests or rugged coastlines) to a more global vision that includes the conservation of the diversity of habitats present in any given territory. …”
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Sistem Manajemen Proyek Berbasis Website Dengan Metode Kanban by Florence Aurelia Widjaja, Bhustomy Hakim

“…The research involved problem identification, literature review, and interviews with project managers to gather both functional and non-functional requirements. …”
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CNN-BiLSTM and DC-IGN fusion model and piecewise exponential attenuation optimization: an innovative approach to improve EEG emotion recognition performance by Shaohua Zhang, Yan Feng, Ruzhen Chen, Song Huang, Qianchu Wang

“…EEG emotion recognition has important applications in human-computer interaction and mental health assessment, but existing models have limitations in capturing the complex spatial and temporal features of EEG signals. To overcome this problem, we propose an innovative model that combines CNN-BiLSTM and DC-IGN and fused both outputs for sentiment classification via a fully connected layer. …”
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A data and knowledge-driven practice for ensuring stability in ultra-large intelligent computing clusters by NIU Hongweihua, HUANG Yongbao, DING Guoqiang, HUANG Bao, ZHAO Zhiwen, XU Yang, WANG Tao, ZHANG Ruiling, WANG Xuan, ZHANG Yixiang

“…In the process of extracting time series features with the deep learning model, weighted fusion of features extracted at different scales , thereby improving the accuracy of the fault diagnosis model. …”
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A Computing Model of Selective Attention for Service Robot Based on Spatial Data Fusion by Huanzhao Chen, Guohui Tian

“…Robots and humans are facing the same problem: they all need to face a lot of perceptual information and choose valuable information. …”
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Conceptual semantic enhanced representation learning for event recognition in still images by Ruiqi Luo, Bangchao Wang, Yu Feng, Zaihui Deng, Xian Zhong

“…However, if a higher erroneous concept score is given using CNN, multi-view learning will also augment the concept score approximate to its erroneous concept semantics, thereby leading to the distortion of image representation information. To address this problem, CNN is used to extract channel information to obtain the local features of the image, and it is further fused with the optimized concept score features, so as to form the final image representation information and complete the image event recognition. …”
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Autonomous Maneuver Decision of UCAV Air Combat Based on Double Deep Q Network Algorithm and Stochastic Game Theory by Yuan Cao, Ying-Xin Kou, Zhan-Wu Li, An Xu

“…Secondly, the convolutional neural network (CNN) is used to process the high-dimensional continuous situation features of UCAV in air combat, eliminate the correlation and redundancy between situation features, and train the neural network to approximate the action-value function. …”
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Rail Corrugation Detection of High-Speed Railway Using Wheel Dynamic Responses by Jianbo Li, Hongmei Shi

“…The depth detection is transformed to a classification problem with SVM. Bispectrum features, which are extracted from the reconstructed signal using the high-frequency components of wheel vibration acceleration, combining with train speed and corrugation wavelength are input into SVM to recognize the rail corrugation depth. …”
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Constipations in elderly: diagnostics and treatment approach by Yu. O. Shulpekova

“…To illuminate principal causes and features of manifestations of constipation at elderly patients, to present a general investigation and treat- ment plan.Original positions. …”
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The Prediction of Multistep Traffic Flow Based on AST-GCN-LSTM by Fan Hou, Yue Zhang, Xinli Fu, Lele Jiao, Wen Zheng

“…Aiming at the traffic flow prediction problem of the traffic network, this paper proposes a multistep traffic flow prediction model based on attention-based spatial-temporal-graph neural network-long short-term memory neural network (AST-GCN-LSTM). …”
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Helium Speech Recognition Method Based on Spectrogram with Deep Learning by Yonghong Chen, Shibing Zhang, Dongmei Li

“…First, we extract the spectrogram features from the helium speech. Then, we combine a deep fully convolutional neural network with connectionist temporal classification (CTC) to form an acoustic model, in which the spectrogram features of helium speech are used as an input to convert speech signals into phonetic sequences. …”
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«OLD WOMAN IN VERY MODERN INTERNATIONAL DRESS» (GERMAN DUAL SYSTEM OF VET IN GERMANY AND IN THE WORLD) by Dr. Kress Hannelore, Ekaterina Y. Esenina

“…Methods of collecting empirical information on the projects started in the specified countries, methods of the conceptual and terminological analysis, interpretation and modeling, a problem method are chosen.Results. Specifics of the German dual system are revealed; the generalized model of dual VET is constructed; features of approaches of the different countries to use positive experience of Germany for development of its own VET systems are characterized.Scientific novelty. …”
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