A hybrid approach to predicting and classifying dental impaction: integrating regularized regression and XG boost methods by Asok Mathew, Pradeep K. Yadalam, Ahmed Radeideh, Shrouk Hady, Rona Swed, Reyyan Cheema, Majd Mousa AL-Mohammad, Mohammed Alsaegh, SR Shetty

“…Impaction, a tooth alignment issue, is diagnosed using radiographic measurements like panoramic radiographs and CBCT. …”
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Deep Learning Model for Analyzing EEG Signal Analysis by Varun Gupta, Vivek Kumar, Prince, Saurabh Singh, Young-Seok Lee, In-Ho Ra

“…Furthermore, feature selection optimizes classification accuracy by refining the fitness function of bats in the classification layer. …”
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ON STANDARDIZATION OF RADIATION PROTECTION INDEXES OF NATURAL MINERAL WATERS by I. P. Stamat, V. V. Stupina

“…It is shown that classification of natural mineral waters according to their intended use which is accepted in GOST R 54316-2011 is close to their classification in the EU countries. …”
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Improving the Accuracy of Indoor Object Localization in the Internet of Things Using Recurrent Neural Networks (LSTM) in Challenging Environments by Hussein Aqeel Hussein, Mehdi Hamidkhani, Nasseer K. Bachache, Mohammadreza Soltan Aghaei

“…The approach uses nearly all the standard techniques to find best signal processing concepts and classification methods, successfully merging them together. …”
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Introducing an ensemble method for the early detection of Alzheimer's disease through the analysis of PET scan images by Arezoo Borji, Taha-Hossein Hejazi, Abbas Seifi

“…When a person is in MCI, they still have significant cognitive issues, especially with memory, but they are still able to perform many daily tasks on their own. …”
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A multi-class hybrid variational autoencoder and vision transformer model for enhanced plant disease identification by Folasade Olubusola Isinkaye, Michael Olusoji Olusanya, Ayobami Andronicus Akinyelu

“…Their high computational and memory demands also limit scalability for large datasets. To overcome these issues, we propose a hybrid model with the potential to combine Variational Autoencoders and Vision Transformers for enhanced accuracy and robustness of plant disease classification. …”
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Scale-Consistent and Temporally Ensembled Unsupervised Domain Adaptation for Object Detection by Lunfeng Guo, Yizhe Zhang, Jiayin Liu, Huajie Liu, Yunwang Li

“…To ensure high-quality pseudo-labels, TEPLS combines temporal localization stability with classification confidence, mitigating the impact of noisy predictions and improving both classification and localization accuracy. …”
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Harnessing self-supervised learning to boost malicious traffic detection with enhanced attention by SUN Jianwen, ZHANG Bin, LI Hongyu, CHANG Heyu

“…A packet sequence feature fusion strategy based on channel attention was introduced, and a multi-dimensional attention mechanism, along with labeled data, were used to fine-tune the model’s weights to adapt to traffic identification and classification tasks. Before making classification decisions, the integration ability of high-weight features was enhanced to further improve the model's detection precision. …”
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Patient-specific modeling of the trochlear morphologic anomalies by means of hyperbolic paraboloids by Pietro Cerveri, Guido Baroni, Norberto Confalonieri, Alfonso Manzotti

“…Diagnostic and therapeutic purposes are issuing pressing demands to improve the evaluation of the dysplasia condition of the femoral trochlea. …”
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Leveraging stacking machine learning models and optimization for improved cyberattack detection by Neha Pramanick, Jimson Mathew, Shitharth Selvarajan, Mayank Agarwal

“…There are high hurdles in managing high-dimensional network traffic since current methodologies are limited in dealing with imbalanced data issues of minority classes versus the majority and high false positive rate in classification accuracy. …”
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An OGFA+CNN Approach for Multi-Level Disease Identification in Fundus Images by Preethi Kulkarni, K. Srinivasa Reddy

“…Fundus disease classification is critical for the early detection of conditions such as diabetic retinopathy and glaucoma, which can lead to blindness if left untreated. …”
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Hybrid IoT-CAD system: optimized feature selection based gated recurrent residual deep learning for cyber attack detection in IoT networks by Susheela Vishnoi, Sunil Kumar, Saikat Samanta

“…In this work, a novel approach is introduced that combines deep learning (DL) and machine learning (ML) to improve cyber-attack detection in IoT networks, which solves cybersecurity issues. The proposed IoT system includes four steps: pre-processing, augmentation, feature selection, and classification. …”
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Multilevel access control for video database by Jin-bo XIONG, Zhi-qiang YAO, Jian-feng MA, Qi LI

“…In regards to the critical issues of classification protecting sensitive information of the data stored in video database,a multilevel access control model for the video database was proposed.A series of algorithms was designed and developed in the model where a method of distinguishing user identity and an algorithm to ensure good identity strength were presented.The result of them was then used as the input to user's security level membership function.The user's security level membership degree was subsequently acquired from the result of this function,and it is then,together with the security level membership degree of video data,used as input to the comparison function of security level membership degree in authorization rule.As a result,the multilevel access control can be implemented neatly through combining the result of the comparison function with time element.Compared with the existing access control models,the most outstanding characteristics of the proposed model are realizations of dynamic authorization and video data classification protection.…”
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Thermal Comfort Level Based on the Temperature Humidity Index Value in Bandung City by Alfiansyah Dhiya’ulhaq Nasihien, Abdul Wahid Hasyim, Fadly Usman

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Advances in research and current challenges in the treatment of advanced HER2-low breast cancer by Qiang Qin

“…The traditional HER2 classification (negative or positive) has limitations, with only 15%–20% of the breast cancer population being positive and suitable for HER2-targeted therapy. …”
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WŁADZA TRZECIA „NEUTRALNA” by Andrzej Sylwestrzak

“… THIRD POWER: NEUTRAL ONE Summary The issues discussed in the article cover six areas: a/ law-based state and the division of power, b/ division of power in the doctrine, c/ division of power in Polish constitutionalism, d/ normative classification of constitutional authority, e/ the political power, opposition power and neutral power, f/ concluding remarks. …”
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Longitudinal serum chloride trajectories and their correlation with all-cause mortality in critically Ill sepsis patients: a retrospective cohort analysis by Min Lei, Mingyue Ma, Yaping Zhang, Nianqiang Hu, Junran Xie

“…Abstract Background Sepsis, a critical organ failure caused by an abnormal host response to infection, continues to be a significant worldwide medical issue. Despite advances in early recognition and treatment, sepsis mortality remains high, particularly in severely ill individuals. …”
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Food sweeteners: Angels or clowns for human health? by Qiao-Yun Hong, Yan Huang, Jie Yang, Long-Teng Su, Zhao-Ri Dai, Cheng-Fei Zhao

“…The discussion will unfold in the following four sections: (1) Definition and classification of sweeteners; (2) Application areas of various sweeteners; (3) Beneficial effects of sweetener use on human health; (4) Adverse effects of sweetener use on health issues in different population groups. …”
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Reproducibility and Screening Capability of Corneal Epithelial Thickness Measurement for Keratoconus Using Anterior Segment Optical Coherence Tomography by Oshika T, Sawaki A, Nishida T, Nakamura T, Kojima T

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Predicting Acetabular Component Size in Bipolar Hip Hemiarthroplasty Using Digital Radiographs: A Prospective Study on Accuracy by Umesh Samria, Naveen Sathiyaseelan, Akib Nisar Sheikh, Pankaj Jain, Pradeep Khinchi

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