Architecture-Aware Augmentation: A Hybrid Deep Learning and Machine Learning Approach for Enhanced Parkinson’s Disease Detection by Madjda Khedimi, Tao Zhang, Hanine Merzougui, Xin Zhao, Yanzhang Geng, Khamsa Djaroudib, Pascal Lorenz

“…Parkinson’s Disease (PD) is a progressive neurodegenerative disorder affecting millions worldwide. Early detection is crucial for improving patient outcomes. …”
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Attention-Based Dual-Knowledge Distillation for Alzheimer’s Disease Stage Detection Using MRI Scans by Chandita Barman, Sudhanshu Singh, Manob Jyoti Saikia, Shovan Barma

“…This study presents an efficient attention-guided dual-knowledge distillation (D-KD) framework for classifying Alzheimer’s disease (AD) stages using magnetic resonance imaging (MRI) scans based on detection of the subtle anatomical differences. Current challenges involve identifying precise discriminating features in low computational complexity without compromising classification accuracy. …”
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An adaptive hybrid framework for IIoT intrusion detection using neural networks and feature optimization using genetic algorithms by Mohammad Zubair Khan, Aijaz Ahmad Reshi, Shabana Shafi, Ibrahim Aljubayri

“…Abstract In Industrial Internet of Things (IIoT) networks, securing device connectivity through effective intrusion detection systems is essential for maintaining operational integrity. …”
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Revolutionizing Pneumonia Diagnosis: AI-Driven Deep Learning Framework for Automated Detection From Chest X-Rays by N. Shilpa, W. Ayeesha Banu, Prakash B. Metre

“…Timely and accurate detection is paramount for initiating prompt intervention and improving patient prognoses. …”
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An Efficient Mutual Authentication and Fractional Lyrebird Optimization With Deep Learning–Based SIP-Based DRDoS Attack Detection by V. Sreenivasulu, C. V. Ravikumar

“…Over the past decades, Session Initiation Protocol (SIP) has been commonly utilized in signaling protocol to control and signal multimedia communication sessions for providing various services to users. …”
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A Hybrid Machine Learning Approach for Detecting and Assessing <i>Zyginidia pullula</i> Damage in Maize Leaves by Havva Esra Bakbak, Caner Balım, Aydogan Savran

“…This study presents a novel approach for the detection and severity assessment of pest-induced damage in maize plants, focusing on the <i>Zyginidia pullula</i> pest. …”
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Chemical nanosensor arrays for human breath-based diagnostics: Perspective and a promising result for COVID-19 detection by Antonio J. Ricco, Ami M. Hannon, Jing Li

“…Diagnosis of disease from breath signatures comprised of volatile, mostly organic compounds is a promising field of research and medical application that, after more than 4 decades of active research, has yielded far fewer breatkthroughs than its potential initially appeared to promise. The recent pandemic spurred many teams, including ours at NASA, to investigate this approach for a particular application: determining COVID-19 infection status. …”
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Detection of Salivary Biomarkers Osteocalcin and Osteonectin of Bone Turnover among smokers Periodontitis Patients in Erbil City-Iraq by Azheen A. Abdullah, Heba F. Hamodat

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Leveraging Deep Learning for Robust Structural Damage Detection and Classification: A Transfer Learning Approach via CNN by Burak Duran, Saeed Eftekhar Azam, Masoud Sanayei

“…Then, this acceleration time-history series was transformed into grayscale images, serving as inputs for a Convolutional Neural Network developed to detect and classify structural damage states. Initially, it was trained and tested on datasets derived from a Single-Source Domain structure, achieving perfect accuracy (1.0) in a ten-label multi-class classification task. …”
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Enhancing small object detection for HCI: BRA-YOLO algorithm with RealSense 3D trajectory tracking by Xin Ji, Mengkui Wang, Wentong Wang, Qiang Liu

“…The proposed method involves a contactless trajectory planning technique based on computer vision principles. Initially, MediaPipe is utilized to confine the detection area for interaction pens near the detected hand area, effectively reducing environmental interference. …”
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An effectiveness of deep learning with fox optimizer-based feature selection model for securing cyberattack detection in IoT environments by Mimouna Abdullah Alkhonaini

“…This paper presents a Fox Optimizer-Based Feature Selection with Deep Learning for Securing Cyberattack Detection (FOFSDL-SCD) model. This paper aims to analyze cybersecurity-driven approaches for enhancing IoT networks’ resilience and threat detection capabilities using advanced techniques. …”
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ratiometric detection of nucleic acid using hybridization chain reaction and color-switching DNA-templated silver nanoclusters by Jessica Sui Ying Ooi, Zheng Wei Wong, Siu Yee New

“…In this work, we developed an enzyme-free and label-free HCR-silver nanoclusters (AgNCs) biosensor using a capture probe (CP-S15) and ‘universal’ hairpins (H1-S13 and H2-S13) for DNA target detection. CP-S15 was designed as a hairpin with a toehold region for DNA target recognition and a loop region to initiate HCR between H1 and H2, which host color-switching fluorescent AgNCs. …”
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Fiber Bragg Grating Detection and Nonlinear Thermal Strain Response of Annular Concrete Structures Under Stress Constraints by Chuan Li, Yusi Ran, Jiaqi Li, Qiang Xu, Hao Liu, Xiaorong Wan

“…To investigate the complex thermodynamic response of annular concrete structures under the combined constraints of stress and temperature, a detection model was developed to measure structural strain by combining the structural mechanics model with fiber Bragg grating (FBG) detection technology, while a numerical simulation model was created to reflect the mechanical response of the annular concrete structures. …”
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Paving the way to detect adult malnourished patients in resource-limited settings: the first step to the right to nutritional care by E Van Tonder, FAM Wenhold, R Blaauw

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Subparalyzing Doses of Rocuronium Reduce Muscular Endurance without Detectable Effect on Single Twitch Height in Awake Subjects by Jan Gelberg, Peter Bentzer, David Grubb

“…No effect on single twitch height after 0.08 mg/kg rocuronium at four minutes after drug administration could be detected. Conclusions. Subparalyzing doses of rocuronium show a distinct effect on muscular endurance as opposed to momentary force. …”
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Performance verification of the Abbott SARS-CoV-2 test for qualitative detection of IgG in Cali, Colombia. by Maria Del Mar Castro, Isabella Caicedo, Helen Johanna Ortiz-Rojas, Carmen Manuela Castillo, Adriana Giovanna Medina, Neal Alexander, Maria Adelaida Gómez, Ludwig L Albornoz

“…<h4>Methods</h4>We conducted a validation study of the Abbott SARS-CoV-2 test for qualitative detection of IgG using the Abbott Architect i2000SR. …”
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A privacy-preserved horizontal federated learning for malignant glioma tumour detection using distributed data-silos. by Shagun Sharma, Kalpna Guleria, Ayush Dogra, Deepali Gupta, Sapna Juneja, Swati Kumari, Ali Nauman

“…Initially, for developing this model, the collection of the MRI scans of non-tumour and glioma tumours has been done, which are further pre-processed by performing data balancing and image resizing. …”
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Superiority of targeted RNA sequencing for fusion detection and subtype diagnosis in Chinese sarcoma patients: a multicenter study by Gu Jin, Dandan Zhao, Baoming Wang, Xuejiao Liu, Quanyu Yang, Zhengchuang Liu, Qiong Yang, Jianhua Zhu, Jie Zhang, Wei Li, Xiaojuan Wang, Chunyang Wang, Tonghui Ma, Jiayong Liu

“…Furthermore, integrated RNA data led to subtype reclassification in 11.9% of patients, including 22% of those initially diagnosed as “not otherwise specified”. These findings confirm the utility of targeted RNA sequencing for detecting transcriptionally active fusions, refining pathological classifications, and identifying actionable variants in Chinese sarcoma patients. …”
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The Pathway Is Clear but the Road Remains Unpaved: A Scoping Review of Implementation of Tools for Early Detection of Cerebral Palsy by Álvaro Hidalgo-Robles, Javier Merino-Andrés, Mareme Rose Samb Cisse, Manuel Pacheco-Molero, Irene León-Estrada, Mónica Gutiérrez-Ortega

“…<b>Conclusions</b>: The limited integration of GMA, HINE, and MRI into routine practice reflects a persistent “know–do” gap in early CP detection. Since implementation is shaped by the dynamic interplay of capability, opportunity, and motivation, bridging this gap demands sustained and equitable action—by addressing system-wide barriers, supporting professional development, and embedding early detection within national care pathways.…”
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Changes of physiological and biochemical indexes of tea plant leaves under lead aerosol stress and their rapid spectral detection by CHEN Haitian, ZHOU Xuejun, SHA Junjing, LI Xiaoli, WANG Jin, HE Yong

“…Then the model for the rapid detection of each index was established based on Fourier transform infrared (FTIR) spectroscopy. …”
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