Classification of histopathological images for oral cancer in early stages using a deep learning approach by Alsaedi Raneem Y., Alsharif Hussam J.

“…Problem – Diagnosing early-stage oral squamous cell carcinoma (OSCC) is necessary for patient treatment and survival. …”
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Joint simplification of various types spatial objects while preserving topological relationships by Olga P. Yakimova, Dmitriy M. Murin, Vladislav G. Gorshkov

“…Considering coverings and mesh structures allows us to reduce the more general problem of topological conflict correction to the problem of resolving topological conflicts within a single mesh cell. …”
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Neurocysticercosis by Osvaldo M. Takayanagui

“…Cysticercosis is one of the most common parasitic diseases of the nervous system in humans, and constitutes a major public health problem for most of the developing world. The clinical manifestations of neurocysticercosis (NCC) largely depend on the the host immune response against the parasite. …”
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Learning Condition-Invariant Scene Representations for Place Recognition across the Seasons Using Auto-Encoder and ICA by Tariqul Islam, Sheikh Rabiul Islam, Mahbubur Rahman

“…However, the map becomes inconsistent when the robot moves in the environment and detects errors with emotional accuracy. The loop-closure detection is the process through which a robot can acknowledge the location visited previously, which can identify the ultimate solution to the previous problem. …”
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Advanced holographic convolutional dense networks and Tangent runner optimization for enhanced polycystic ovarian disease classification by Prathibanandhi Jeyashanker, Annie Grace Vimala Georgewilliam Sundaram, Padmakala Sadagopan, Abid Yahya, Ravi Samikannu, Irfan Anjum Badruddin, Sarfaraz Kamangar, Mohamed Ghouse Shukur

“…However, most of the existing approaches suffer from lots of problems, including low accuracy and capability in feature extraction, and may also be resilient to noise; it can further delay or lead to a wrong diagnosis. …”
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Lightweight Sheep Face Recognition Model Combining Grouped Convolution and Parameter Fusion by Gaochao Liu, Lijun Kang, Yongqiang Dai

“…When these models are deployed on mobile or embedded devices, problems such as reduced model recognition accuracy and increased recognition time arise. …”
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Dual-verified secure localization method for unmanned intelligent vehicles by GU Xiaodan, XIA Guozheng, SONG Bingchen, YANG Ming, LUO Junzhou

“…Once an abnormal position was detected, an alert would be issued, ensuring the normal operation of the unmanned intelligent vehicles. …”
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Predictive analysis of heart disease using quantum-assisted machine learning by Mehroush Banday, Sherin Zafar, Parul Agarwal, M. Afshar Alam, Siddhartha Sankar Biswas, Imran Hussain, K. M. Abubeker

“…Reducing cardiac morbidity and mortality requires early detection of heart disease. In this research, a hybrid approach utilises techniques with quantum computing capabilities to tackle complex problems that are not amenable to conventional ML algorithms and to minimise computational expenses. …”
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Deep Learning Approaches for Retinal Disease Identification in Fundus Imaging: A Comprehensive Overview by Ismael Abdulkareem Ali, Sozan Abdullah Mahmood

“…While in the medical field, manually detecting ocular pathology has significant difficulty. …”
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Fungal Keratitis. Part 2. Diagnosis and Treatment by O. V. Shilovskikh, V. O. Ponomarev, V. L. Timofeev

“…The problem of diagnosis and treatment of fungal keratitis (FK) is very acute. …”
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On the conservation of fungi by A. A. Shirokikh, I. G. Shirokikh

“…The information on the features of regional fungal diversity detection, rare and threatened species for inclusion into the Red lists of various levels as well as on determining the boundaries of fungal populations, including using barcoding methods is provided. …”
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AppAuth: Authorship Attribution for Android App Clones by Guoai Xu, Chengpeng Zhang, Bowen Sun, Xinyu Yang, Yanhui Guo, Chengze Li, Haoyu Wang

“…Our work is the first one that tackles the problem systematically and we believe our efforts could positively contribute to the research community and boost the research of app repacking detection and authorship attribution studies.…”
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MYOSITIS ASSOCIATED WITH MALIGNANT TUMORS by O. A. Antelava, A. N. Khelkovskaya-Sergeeva, N. V. Chichasova, S. G. Radenska-Lopovok, S. I. Glukhova

“…The investigations published identify demographic, clinical, and laboratory factors increasing MN detection risks in patients with PM/DM. Just the same, they all cover small patient groups; the findings are heterogeneous and not well convincing, which calls for a further larger-scale study of this problem.Objective: to reveal and identify the specific features of paraneoplastic myositis (PnM).Subjects and methods. …”
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Hybrid Channel Attention Regression U-Net (ARU-Net): An Enhanced Architecture for Brain Tumour Segmentation in Magnetic Resonance Imaging by Noman Ahmed Siddiqui, Muhammad Tahir Qadri, Zain Anwar Ali, Muhammad Ovais Akhter, Ahmed Alsanad, Areej Abdullah Alhogail, Abdu H. Gumaei

“…On the other hand, the channel-wise attention part, the Squeeze-and-Excitation (SE) blocks, recalibrates channel-wise feature responses for higher emphasis on salient features. …”
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Autoencoder untuk Sistem Prediksi Berat Lahir Bayi by Fitra Septia Nugraha, Hilman Ferdinandus Pardede

“…On the other hand, to improve the accuracy of a learning process, an accurate prediction is needed for the problem at hand or by using a combination of several methods. …”
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Method for reconstructing safety and arming motion process by integrating Kalman filter and KCF by Yinhuan Zhang, Qinkun Xiao, Xing Liu, Yongquan Wei, Jingyun Xue

“…Abstract This paper addresses the challenge of reconstructing the motion process of the safety and arming (S&A) mechanism in fuze by transforming the problem into a target detection and tracking problem. …”
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Chest X-Ray Images to Differentiate COVID-19 from Pneumonia with Artificial Intelligence Techniques by Rumana Islam, Mohammed Tarique

“…This investigation has employed two algorithms to solve this problem objectively. One algorithm uses lower-dimension encoded features extracted from the X-ray images and applies them to the machine learning algorithms for final classification. …”
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A loop-counting method for covariate-corrected low-rank biclustering of gene-expression and genome-wide association study data. by Aaditya V Rangan, Caroline C McGrouther, John Kelsoe, Nicholas Schork, Eli Stahl, Qian Zhu, Arjun Krishnan, Vicky Yao, Olga Troyanskaya, Seda Bilaloglu, Preeti Raghavan, Sarah Bergen, Anders Jureus, Mikael Landen, Bipolar Disorders Working Group of the Psychiatric Genomics Consortium

“…A common goal in data-analysis is to sift through a large data-matrix and detect any significant submatrices (i.e., biclusters) that have a low numerical rank. …”
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ESTIMATING PEASANT FARMS INCOME AND THE STANDARD OF LIVING OF A RURAL POPULATION BASED ON MULTI-FACTORIAL ECONOMETRIC MODELING: A CASE STUDY OF UKRAINE by Mykola DZIAMULYCH, Tetiana SHMATKOVSKA, Antonina GORDIICHUK, Myroslava KUPYRA, Tetiana KOROBCHUK

“…According to the results of the study it is established, that all the selected factors showed a direct or inverse relationship with the change in the productive feature. In order to determine the density of the detected relationship, using a Microsoft Excel processor, we developed a multifactor correlationregression model and calculated its main statistical characteristics. …”
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An MILP Model for Optimizing Quality Inspection Allocation with Technology Selection and Variable Sampling Rates by Michele Ronchi, Cristian Cafarella, Matteo Gabellini, Alberto Regattieri, Mauro Gamberi

“…Specifically, it simultaneously optimizes the inspection method selection, sampling rate, and detection rate across multi-product systems featuring multiple inspection technologies with varying costs and accuracies. …”
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