Diffuse Reflectance Spectrophotometers Based on C12880MA and C11708MA Mini-Spectrometers Hamamatsu by V. A. Firago, N. V. Levkovich, K. I. Shuliko

“…The described features ensure the efficiency of software modification for the spectrophotometric problem to be solved. …”
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A Unified Framework for Super-Resolution via Clean Image Prior by Songju Na, Yoonchan Nam, Suk-Ju Kang

“…Specifically, we introduce the clean feature extraction (CFE) module that generates clean image features from degraded inputs. …”
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PHYSICO-CHEMICAL ANALYSIS OF THE FORMATION OF POROUS STRUCTURE AND PERFORMANCE PROPERTIES OF THERMALLY MODIFIED SORBENTS FOR WASTEWATER PURIFICATION by Oksana Gennadyevna Larina, Sergey Nikolaevich Ovcharov, Andrey Yuryevich Kalinichenko

“…Introduction: the article raises the current complex problem of environmental pollution with technogene waste and its component - the search for effective methods of wastewater treatment from oil and its products. …”
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State-reinforced co-provision of community-governed greenspace in racially marginalized neighborhoods: lessons from Chicago’s innovative NeighborSpace Land Trust and Partnership by Daniel A DeCaro, Emmanuel Frimpong Boamah, Mary A. Rudolph, Gifty Amma Adusei

“…To understand the design features that enable this solution, we examined the federal, state, and local policies that created the NeighborSpace partnership and grant its formal powers. …”
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A Distributed Multi-Robot Collaborative SLAM Method Based on Air–Ground Cross-Domain Cooperation by Peng Liu, Yuxuan Bi, Caixia Wang, Xiaojiao Jiang

“…First, to address the challenge of significant differences in the field of view between UAVs and UGVs, which complicates achieving a unified environmental understanding, this paper proposes an iterative registration method based on semantic and geometric features assistance. This method calculates the correspondence probability of the air–ground loop closure keyframes using these features and iteratively computes the rotation angle and translation vector to determine the coordinate transformation matrix. …”
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Approaching maximum resolution in structured illumination microscopy via accurate noise modeling by Ayush Saurabh, Peter T. Brown, J. Shepard Bryan IV, Zachary R. Fox, Rory Kruithoff, Cristopher Thompson, Comert Kural, Douglas P. Shepherd, Steve Pressé

“…Such methods therefore suffer from high-frequency artifacts, user-dependent choices of smoothness constraints making assumptions on biological features, and unphysical negative values in the recovered fluorescence intensity map. …”
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A Multi-Scale Fusion Deep Learning Approach for Wind Field Retrieval Based on Geostationary Satellite Imagery by Wei Zhang, Yapeng Wu, Kunkun Fan, Xiaojiang Song, Renbo Pang, Boyu Guoan

“…At the mesoscale, MFR incorporates a cloud-to-wind transformer model, which employs local self-attention mechanisms to extract detailed wind field features. At large scales, MFR incorporates a multi-encoder coordinate U-net model, which incorporates multiple encoders and utilises coordinate information to fuse meso- to large-scale features, enabling accurate and regionally complete wind field retrievals, while reducing the computational resources required. …”
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PREDECESSORS, YIELD AND QUALITY OF WINTER WHEAT GRAIN IN THE CONDITIONS OF A FOOTHILL PART OF KABARDINO-BALKARIA by Kh. A. Malkanduev, A. Kh. Malkandueva, R. I. Shamurzaev, R. A. Gazheva

“…The study showed that a change of qualitative features of grain depends on biological properties of the varieties and their predecessors. …”
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Desenvolvimento e avaliação de uma tecnologia de baixo custo para programação CNC em pequenas empresas Development and evaluation of a low cost technology for CNC programming in sm... by Dalberto Dias da Costa, Athos Gleber Pereira

“…A implementação foi fundamentada em features de programação e dedicada à sintaxe de um comando comercial. …”
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An enhanced integrated fuzzy logic-based deep learning techniques (EIFL-DL) for the recommendation system on industrial applications by Yasir Rafique, Jue Wu, Abdul Wahab Muzaffar, Bilal Rafique

“…The proposed framework consists of three main stages: data preprocessing, feature extraction, and recommendation generation. …”
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Education 4.0 in the era of digital transformation: perspectives and possible project concepts by Anna Alexandrovna Paskova

“…The aim of the research is to study the features of the new approach to learning, Education 4.0, and analyze its main characteristics. …”
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Recognizing Special Art Pieces Through EEG: A Journey in Neuroaesthetics Classification by Maurizio Palmieri, Marco Avvenuti, Francesco Marcelloni, Alessio Vecchio

“…The first two methods exploit classical machine learning approaches based on various sets of features extracted using different techniques for EEG analysis. …”
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Seismic Attribute Extraction and Application Based on the Gabor Wavelet Transform by Ran Xiong, Xuri Huang, Liang Guo, Xuan Zou, Haonan Tian

“…The seismic Gabor attributes extracted using the above method contain time, frequency, and energy features, solving the problem of single seismic amplitude data features. …”
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A Hybrid Attention Mechanism and RepGFPN Method for Detecting Wall Cracks in High-Altitude Cleaning Robots by Haiqiao Liu, Lingding Li, Ya Li, Qing Long, Zhuoyu Chen

“…First, the GAM attention mechanism was incorporated into the YOLOV5 backbone network to reduce information and amplify global features to improve the accuracy of feature extraction. …”
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CSNet: A Remote Sensing Image Semantic Segmentation Network Based on Coordinate Attention and Skip Connections by Jiahao Li, Hongguo Zhang, Liang Chen, Binbin He, Huaixin Chen

“…Furthermore, skip connections are introduced between the encoder and decoder to directly transfer low-level features to the decoder. This promotes the fusion of semantic information at different levels, enhances the recovery of fine-grained details, and optimizes the gradient flow during training, effectively mitigating the vanishing gradient problem and improving training efficiency. …”
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CLINICAL AND SOCIAL RISK FACTORS OF TARDIVE DYSKINESIA IN PATIENTS WITH SCHIZOPHRENIA DURING ANTIPSYCHOTIC TREATMENT by Ye. G. Kornetova, A. V. Semke, Ye. G. Dmitrieva, Yu. N. Borodyuk, A. S. Boyko

“…The purpose of the present work was to study the clinical features and risk factors of tardive dyskinesia among     the     schizophrenia     patients     who     durably     receive     the     antipsychotic     therapy. 180 of the 18 to 65 age bracket schizophrenia patients, who were treated in a residential psychiatric treatment facility, were examined with the use of the Positive and Negative Syndrome Scale (PANSS), Abnormal Involuntary Movement Scale (AIMS), and the basic chart of formalized sociodemographic and clinico-dynamic features developed at the Tomsk Mental Health Research Institute. …”
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Sculpting molecules in text-3D space: a flexible substructure aware framework for text-oriented molecular optimization by Kaiwei Zhang, Yange Lin, Guangcheng Wu, Yuxiang Ren, Xuecang Zhang, Bo Wang, Xiao-Yu Zhang, Weitao Du

“…In this article, we present an innovative approach to tackle this inverse design problem by formulating it as a multi-modality guidance optimization task. …”
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Research on channel estimation based on joint perception and deep enhancement learning in complex communication scenarios by Xin Liu, Shanghong Zhao, Yanxia Liang, Shahid Karim

“…In this article, we address the intelligent, reflective surface (IRS)-assisted channel estimation problem and propose an intelligent channel estimation model based on the fusion of convolutional neural network (CNN) and gated recurrent unit (GRU) row features, utilizing the reinforcement learning Deep Deterministic Policy Gradient (DDPG) strategy for Channel Reconstruction Prediction and Generation Network (CRPG-Net). …”
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TECHNIQUE OF PROCESSING OF VIBRATION MONITORING DATA, RECEIVED BY THE USE OF MICROELECTROMECHANICAL SYSTEMS by B. A. Chichkov

“…Does the information received according to mentioned above features have better diagnostic potential? Will the array dimension received during data verification be an obstacle to the operational processing? …”
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Fault Diagnosis Method of Planetary Gearboxes Based on LMD Permutation Entropy and BP Neural Network by Gao Sujie, Wu Shijing, Zhou Jianhua, Zheng Pan, Chen Ben, Xu Jiacai

“…In view of the problems of poor discrimination of fault feature vectors extracted in the process of fault diagnosis of planetary gearboxes and insufficient diagnosis success rate, a method based on Local Mean Decomposition（LMD） permutation entropy and BP neural network is proposed. …”
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