Optimizing visual data retrieval using deep learning driven CBIR for improved human machine interaction by Arulmozhi P, Gopi R

“…Robust performance across varied datasets is challenging for traditional CBIR methods due to their reliance on hand-crafted features and inflexible structures. This study presents a deep adaptive attention network (DAAN) for CBIR that combines multi-scale feature extraction and hybrid neural architectures to solve these problems and improve the speed and accuracy of visual retrieval. …”
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Machine learning based method for forecasting short-term passenger flow in urban rail stations by HU Mingwei, SHI Xiaolong, WU Wenlin, HE Guoqing

“…It also plays a prominent part in solving urban traffic problems. In order to improve the operation efficiency of the urban rail transit system and achieve the goal of smart operations, this paper applies machine learning algorithms and completes the feature engineering of urban rail transit passenger flow data in terms of time, space and external factors. …”
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The LED-ID Detection and Recognition Method Based on Visible Light Positioning Using Proximity Method by Canyu Xie, Weipeng Guan, Yuxiang Wu, Liangtao Fang, Ye Cai

“…Different from the traditional LED-ID coding and decoding method, we create different features for different LED-ID, and use a machine learning method to identify the LED-ID once the feature extraction and selection of the LED image is achieved with an image processing method. …”
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On the academic ideology of “Sorting the gangue is sorting the images” by Hongwei MA, Ye ZHANG, Peng WANG, Xiangang CAO, Zhen NIE, Xiaorong WEI, Wenjian ZHOU, Mingzhen ZHANG

“…Aiming at the problem of image-based coal gangue recognition, a recognition principle and metsorting rates visual images and X-ray images is proposed, which can effectively improve the accuracy of coal gangue recognition; Aiming at the problem of feature extraction in coal gangue image sorting, a plane and depth feature extraction and fusion algorithm based on coal gangue images is proposed. …”
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“To Have a Winning Way of a Russian Name About Us.” Conversation Between Ambassador Extraordinary and Plenipotentiary M. Konarovsky and Ambassador Extraordinary and Plenipotentiary... by М. A. Konarovsky, A. I. Kuznetsov

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Automatic mosaic method of remote sensing images based on machine vision by S.P. Gao, M. Xia, S.J. Zhang

“…To address the above issues, this study proposes an improved remote sensing image mosaic model on the bias of the Scale Invariant Feature Transform (SIFT) algorithm. Firstly, in this study, aiming at the problem that traditional SIFT cannot meet the requirements of feature extraction and matching for unconventional remote sensing images and special texture images, normalized cross correlation (NCC) and Forstner operator are introduced to optimize it, namely, a SIFT-NCC model is constructed. …”
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Scientific and theoretical foundations of teaching systems by Ilić Mile Đ., Jerković Ljiljana S.

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Outbreaks of COVID-19 in Medical organizations by Y. I. Sisin, A. A. Golubkova, I. I. Kozlova, N. A. Ostapenko

“…Analysis of the causes and conditions of the spread of SARS-CoV-2 in the MO allows us to determine the most effective measures to contain the infection and prevent the occurrence of subsequent diseases in the focus.The aim is to characterize the epidemiological features of a new coronavirus infection during its nosocomial spread in medical organizations based on the analysis of outbreak incidence.Materials and methods. …”
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ANN-SVM-IP: An Innovative Method for Rapidly and Efficiently Detecting and Classifying of External Defects of Apple Fruits by Nashaat M. Hussain Hassan, Mohamed M. Hassan Mahmoud, Mohamed A. Ismeil, M. Mourad Mabrook, A. A. Donkol, A. M. Mabrouk

“…In addition to relying on a large database of more than 21,000 diverse images, it makes the proposed approach promising and feasible for practical applications.INDEX TERMS SVM algorithm, ANN algorithms, features extraction, adjusting of variables, detecting of apple fruits, classification of apple, training and testing.…”
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Evolving Hybrid Deep Neural Network Models for End-to-End Inventory Ordering Decisions by Thais de Castro Moraes, Jiancheng Qin, Xue-Ming Yuan, Ek Peng Chew

“…However, current approaches predominantly rely on feed-forward networks, which may have difficulty capturing temporal correlations in time series data and identifying relevant features, resulting in less accurate predictions. <i>Methods:</i> Addressing this gap, we introduce novel E2E deep learning frameworks that combine Convolutional Neural Networks (CNN) and Long Short-Term Memory (LSTM) for resolving single-period inventory ordering decisions, also termed the Newsvendor Problem (NVP). …”
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Modern Organization of Financial Control by O. P. Umanet

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Genetic Algorithm-Enhanced Direct Method in Protein Crystallography by Ruijiang Fu, Wu-Pei Su, Hongxing He

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Data aggregation impacts on built environment-mode share models around public transit stations by Seyed Sajjad Abdollahpour, Huyen T. K. Le, Ralph Buehler, Steve Hankey

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A novel coordinative spatio-temporal operation strategy for EV battery swapping-charging system based on mobile battery energy storage by Zhijian Liu, Duanyu Li, Jing Dai, Pengcheng Li, Wenguo Yan

“…In this situation, mobile battery energy storage (MBES) is proposed as an intermediary for energy transfer, featuring spatio-temporal and power-energy controllability to assist the operation of the battery swapping-charging system (BCSS). …”
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Innovative hybrid algorithm for efficient routing of limited capacity vehicles by Vu Hong Son Pham, Van Nam Nguyen, Nghiep Trinh Nguyen Dang

“…This study addresses the critical challenges posed by the capacitated vehicle routing problem (CVRP), particularly in the logistics of cement transportation under capacity constraints. …”
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Patients’ experience of patient-reported outcomes, continuous feedback, and a solution-focused approach (using DIALOG +) in psychosis care in Sweden by Marcus Lundmark, Katarina Allerby, Andreas Gremyr, Ann-Christine Andersson

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Hydrological and morphological features and geoecological condition of the territories of the plains area of the Kuma River valley and their significance in the system of civilizat... by E. G. Mishvelov, Z. V. Ataev, A. I. Kornienko

“…In this work, the main aim was a retrospective analysis of the geo‐ecological state and problems of natural territorial complexes (NTC) of the valley of the plains area of the Kuma River in the context of hydrological and morphological dynamics for the period from the 18th century to the present.Material and Methods. …”
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Designing Recolorization Algorithms to Help People with Color Vision Anomalies by V. V. Sinitsyna, A. M. Prudnik

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Optimization of dimension of weldment locus by method of geometric programming by Dragan Stević, Vladan Mićić

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Class-Discrepancy Dynamic Weighting for Cross-Domain Few-Shot Hyperspectral Image Classification by Chen Ding, Jiahao Yue, Sirui Zheng, Yizhuo Dong, Wenqiang Hua, Xueling Chen, Yu Xie, Song Yan, Wei Wei, Lei Zhang

“…It employs discrepancy-sensitive weighting to strengthen the alignment of critical categories, enabling accurate domain adaptation while maintaining feature topology; (2) the class mean refinement (CMR) method incorporates class covariance distance to compute distribution discrepancies between support set samples and class prototypes, enabling the precise capture of cross-domain feature internal structures; (3) a novel multi-dimensional feature extractor that captures both local spatial details and continuous spectral characteristics simultaneously, facilitating deep cross-dimensional feature fusion. …”
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