Classification of Dyslexia Among School Students Using Deep Learning by Alia Hussein, Ahmed Talib Abdulameer, Ali Abdulkarim, Husniza Husni, Dalia Al-Ubaidi

“…Early identification of Dyslexia is essential for providing appropriate interventions and support to affected children. Traditional methods of diagnosing Dyslexia often rely on subjective assessments and the expertise of specialists, leading to delays and potential inaccuracies in diagnosis. …”
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Hierarchical Multi-Scale Decomposition and Deep Learning Ensemble Framework for Enhanced Carbon Emission Prediction by Yinuo Sun, Zhaoen Qu, Zhuodong Liu, Xiangyu Li

“…Traditional statistical and machine learning methods struggle to capture complex multi-scale temporal patterns and long-range dependencies in emission data. …”
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Design of Smart Plant Electrical Signal Monitoring System for Indoor Farming by Afif Saifuddin, Wiratmoko Ardan, Nugroho Andri Prima, Okayasu Takashi, Sutiarso Lilik

“…The calibration result is analyzed using statistical methods such as MAPE. The system will apply various advanced analysis techniques such as time domain, frequency domain, and machine learning methods. …”
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Screening benzimidazole derivatives for atypical antipsychotic activity by K. Yu. Kalitin, O. Yu. Mukha, V. B. Voynov

“…Due to their unique chemical properties, benzimidazole derivatives demonstrate diverse neuropsychotropic effects, highlighting their high potential as antipsychotic agents. Bioinformatics methods enable optimization of the process of identifying compounds with high affinity for target receptors.The aim. …”
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Keywords, morpheme parsing and syntactic trees: features for text complexity assessment by Dmitry A. Morozov, Ivan A. Smal, Timur A. Garipov, Anna V. Glazkova

“…In most situations, morphemic characteristics turned out to be more effective than previously described methods for assessing the lexical complexity of a text: the frequency of words and the occurrence of word-formation patterns. …”
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A Decision Support System For Early Stage Parkinson's Diagnosis from EEG Data Using Symbolic Mutual Information and KAC Features by Nurhan Gürsel Özmen, Neslihan Baki

“…Therefore, in this study, an efficient PD detection method from EEG data by using a new set of features is searched. …”
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Impact of force application point in two-mass oscillation system on its energy efficiency by V. G. Zedgenizov, S. Kh. Faizov

“…The object of research is an oscillatory system of a vibrating machine consisting of two masses interconnected by elastic and dissipative elements. …”
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To Determine Mean Change In Weight Of Patients Undergoing Maxillomandibular Fixation by Osama Mushtaq, Eruj Shuja, Momina Ahmed, Amna Hassan, Muhammad Adil Asim, Maimona Siddiq

“…Pre-operative weight was measured in kilograms with an analogue weight machine and designated as W1. Patients were advised to a liquid diet and kept on follow-up. …”
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Clinicians’ perspectives on the adoption and implementation of EMR-integrated clinical decision support tools in primary care by Debora Goetz Goldberg, Tulay G Soylu, Carolyn Faith Hoffman, Rachel E Kishton, Peter F Cronholm

“…Results All participants reported using CDS tools for patient care, with high variability in the frequency of use and the type of tools used. Fewer clinicians described using machine learning-based systems and risk assessment tools using predictive analytics. …”
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Absence of metacarpophalangeal synovitis by high-resolution ultrasonography distinguishes psoriatic arthritis from rheumatoid arthritis – A cross-sectional study by Ashish K Badika, Ashish Jacob Mathew, Shivraj Padiyar, Avinash Suresh Buche, John Mathew, Anitha Barney, Shyamkumar N Keshava, Debashish Danda

“…Bilateral 1st and 2nd metacarpophalangeal (MCP) and proximal interphalangeal joints were assessed for synovitis and bone erosions, and extensor tendons at wrist for tenosynovitis by a single observer using the GE LOGIQ BOOK XP USG machine (General Electric Medical Systems) with a high-frequency 12-MHz linear array transducer. …”
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A data augmentation procedure to improve detection of spike ripples in brain voltage recordings by Emily D. Schlafly, Daniel Carbonero, Catherine J. Chu, Mark A. Kramer

“…Addressing these limitations requires more objective, efficient, and automated methods for spike ripple detection, including approaches that utilize deep neural networks. …”
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Enhancing Power Quality in Grid-Integrated Hybrid Renewable Energy System using ANFIS-FBSO by Singh Manpreet, Singh Lakhwinder

“…An intelligent, adaptive and predictive control mechanism that combines machine learning (ANFIS) and optimisation (FBSO) is used in the adaptive neuro-fuzzy inference system-based firebug swarm optimisation (ANFIS-FBSO) framework to implement power balancing and frequency stabilisation. …”
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Real-Time Hand Gesture Recognition in Clinical Settings: A Low-Power FMCW Radar Integrated Sensor System with Multiple Feature Fusion by Haili Wang, Muye Zhang, Linghao Zhang, Xiaoxiao Zhu, Qixin Cao

“…Robust and efficient contactless human–machine interaction is critical for integrated sensor systems in clinical settings, demanding low-power solutions adaptable to edge computing platforms. …”
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XAI GNSS—A Comprehensive Study on Signal Quality Assessment of GNSS Disruptions Using Explainable AI Technique by Arul Elango, Rene Jr. Landry

“…Different Machine learning (ML) techniques were employed to assess the importance of the features to the model’s prediction. …”
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Fractal Analysis and the Diagnostic Usefulness of Silver Staining Nucleolar Organizer Regions in Prostate Adenocarcinoma by Alex Stepan, Cristiana Simionescu, Daniel Pirici, Raluca Ciurea, Claudiu Margaritescu

“…Pathological diagnosis of prostate adenocarcinoma often requires complementary methods. On prostate biopsy tissue from 39 patients including benign nodular hyperplasia (BNH), atypical adenomatous hyperplasia (AAH), and adenocarcinomas, we have performed combined histochemical-immunohistochemical stainings for argyrophilic nucleolar organizer regions (AgNORs) and glandular basal cells. …”
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Pumping up your predictive power for cognitive state detection with the proper GAINS by Victoria Ribeiro Rodrigues, Jeremy R. Prieto, Szilard L. Beres, Chad Stephens, Christopher Myers, Nicholas J. Napoli

“…Unlike traditional spectral methods, SIS captures rapid neural transitions and hierarchical frequency dynamics, enabling more accurate characterization of task-specific cognitive processes. …”
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KOMPARASI HASIL TERJEMAHAN GOOGLE TRANSLATE DAN BING TRANSLATOR DALAM MENERJEMAHKAN HEDGING WORDS by Laila Nur Aflah

“…The method used by the two translation machines is literal translation so that the form and meaning of the source text is equivalent to the form and meaning of the target text. …”
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Residual Vibration Reduction in Flexible Systems Based on Trapezoidal Velocity Profiles by Xining Cui, Yi Fang, Chaochen Gu

“…This study proposes a closed-form trajectory optimization method for vibration suppression based on trapezoidal velocity profiles, which are most widely used in industrial robots and machines. …”
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Research on the Timing of Replacing Worn Milling Cutters by Using Wear Transition Percentage Constructed Based on Spindle Current Clutter Signals by Zhihao Liu, Min Wang, Zhishan Wang, Tao Zan, Xiangsheng Gao, Peng Gao

“…This method does not require measuring tool wear and is suitable for different machining parameters. …”
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Stability and process control of single-diamond grinding based on clustering of processing morphology data by Xinyu XU, Xiansong HE, Zhaojie CHEN, Jingying ZHANG, Linfeng YANG, Jin XIE

“…The working mode analysis is performed to solve the natural frequency and the damping ratio of the machining system. …”
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