The impact of artificial intelligence on medical diagnostics: A letter to the editor by Sahar Imtiaz, Sheikh Abdul Qadir Jillani

“…  (2) AI has become increasingly important in various fields due to its potential to automate complex processes, enhance efficiency, and drive innovation. …”
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Novel identification of mAbs by Raman spectroscopy by Maoqin Duan, Jun Liu, Lan Wang, Jialiang Du, Jialing Zhang

“…Raman spectroscopy achieved comparable results to the conventional, but complex, approach to identifying anti‐vascular endothelial growth factor antibodies. …”
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Chemistry-informed recommender system to predict optimal molecular receptors in SERS nanosensors by Emily Xi Tan, Yong Xiang Leong, Shan Huei Lim, Mike Wei Kuang Chng, In Yee Phang, Xing Yi Ling

“…This systematic and data-driven methodology based on cheminformatics represents a shift from empirical discovery to an efficient approach for receptor optimization for complex sensing applications involving structurally similar analytes.…”
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Ensuring Semantic Consistency in SysML v2 Models Through Metamodel-Driven Validation by Eduardo Cibrian, Jose Olivert-Iserte, Carlos Diez-Fenoy, Roy Mendieta, Juan Llorens, Jose Maria Alvarez-Rodriguez

“…Model-Based Systems Engineering (MBSE) relies on formal models for system lifecycle management, supporting model coherence and efficient reuse of components. Modelling languages, particularly SysML v2, provide a standardized framework for complex system modelling, overcoming key limitations of earlier versions. …”
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Unraveling genetic predisposition and oxidative stress in vitiligo development and the role of artificial intelligence (AI) in diagnosis and management by Kocić Hristina, Lotti Torello, Jevtović-Stoimenov Tatjana, Wollina Uwe, Valle Yan, Lukić Stevo, Klisić Aleksandra

“…By analysing vast datasets, AI algorithms can identify patterns within complex genetic markers and clinical features, facilitating earlier and more precise detection of vitiligo. …”
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Multi-material 3D printed smart floor tiles with triboelectric energy generation and security monitoring by Shidhin Mappoli, Kalyan Ghosh, Martin Pumera

“…With the growing demand for integrated smart home systems driven by advancements in the Internet of Things (IoT) and smart city initiatives, the need for efficient, simple, and self-sustaining sensors has become essential. …”
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RAPID: Redundancy Analysis With Parallelized and Intelligent Distribution by Younwoo Yoo, Hayoung Lee, Seung Ho Shin, Sungho Kang

“…In modern memory architectures, complex spare structures are essential for improving repair rates. …”
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Design of a reliable and coordinated protection strategy for zonal shipboard power systems by Mehdi Mohammadzamani, Iman Sadeghkhani, Majid Moazzami

“…Abstract The reliable performance of the shipboard power system (SPS) is essential for the safe and efficient operation of marine vessels. SPSs are subject to various types of electrical faults that can cause equipment failure, system downtime, and even catastrophic events. …”
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Hardware Trojan vulnerability assessment in digital integrated circuits using learnable classifiers by Hadi Jahanirad, Mohammad Fathi

“…The wide range of HT types and related insertion strategies makes the HT detection process very complex. Consequently, developing IC design methodologies that are robust against HT insertion would be of great merit. …”
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Reconfigurable acoustic streaming tweezers enabled portable liquid handler for nucleic acid extraction by Tiechuan Li, Rui You, Xiaotian Shen, Zhiwei Li, Yang Yang, Ziyu Han, Xuexin Duan

“…The extraction and purification of nucleic acids (NA) play a crucial role in biomedicine, as high-purity and efficient extraction are essential prerequisites for accurate molecular diagnosis. …”
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Indoor Multidimensional Reconstruction Based on Maximal Cliques by Yongtong Zhu, Lei Li, Na Liu, Qingdu Li, Ye Yuan

“…Three-dimensional reconstruction is an essential skill for robots to achieve complex operation tasks, including moving and grasping. …”
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SSR loci potentially associated with high amylopectine content in maize kernel endosperm by S. I. Vakula, O. A. Orlovskaya, L. V. Khotyleva, A. V. Kilchevsky

“…The purpose of this study was to evaluate the effectiveness of using waxy locus microsatellite sequences for identification and labeling of waxy maize genotypes. To this end, a complex of biochemical (calorimetry, bichromate method), molecular-genetic (SSR-PCR, capillary gel electrophoresis with fluorescent detection of fragments) and statistical (descriptive statistics, cluster analysis, χ2) analysis methods was used. …”
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Adaptive Multi-Objective Optimization-Based Coverage Path Planning Method for UUVs by Shaojing ZHAO, Songchen FU, Letian BAI, Yutong GUO, Ta LI

“…By analyzing the correlation between reward objectives and employing linear regression estimation, the proposed approach adaptively adjusted the weights of different optimization objectives, enabling UUVs to autonomously plan efficient coverage paths in environments with unknown obstacles and ocean currents. …”
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Evaluating DL Model Scaling Trade-Offs During Inference via an Empirical Benchmark Analysis by Demetris Trihinas, Panagiotis Michael, Moysis Symeonides

“…With generative Artificial Intelligence (AI) capturing public attention, the appetite of the technology sector for larger and more complex Deep Learning (DL) models is continuously growing. …”
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Clinical features of removing phakic intraocular lenses in cataract at high myopia by M. E. Konovalov, E. M. Molokotin

“…Before complex surgical intervention (FIOL + phacoemulsification) were carried out standard ophthalmo- logic examination, and also automatic detection of density of endothelial cells.Results: the developed technique of removal of FIOL included subconjunctival anesthesia, formation of a corneal tunnel, filling of the anterior chamber viscoelastic, FIOL mobilization, removal of the bottom haptic element in the anterior chamber, removal of the top haptic element in the of anterior chamber, FIOL removal. …”
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Mitigating Sinkhole Attacks in MANET Routing Protocols using Federated Learning HDBNCNN Algorithm by Sherril Sophie Maria Vincent

“…The proposed study aims to enhance the reliability and efficiency of MANETs in attack situations when minimizing overhead from malicious traffic management. …”
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A Hybrid Deep Learning Framework for Early-Stage Alzheimer’s Disease Classification From Neuro-Imaging Biomarkers by Samina Akram, Muhammad Amjad Iqbal, Muhammad Rashid, Muhammad Shahid Bhatti, Benish Fida

“…Our ensemble methodology deciphers complex patterns within Magnetic Resonance Imaging, mapping them to specific AD early stages. …”
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Apple leaf disease severity grading based on deep learning and the DRL-Watershed algorithm by Zhifang Bi, Fumin Ma, Jiaxiong Guan, Jie Wu, Juxia Li, Fuzhong Li, Yanwen Li, Zhanli Liu

“…Existing methods for disease detection and severity classification struggle to quickly and accurately segment and quantify diseased areas on leaves, particularly in complex backgrounds. …”
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Improved Intelligent Condition Monitoring with Diagnostic Indicator Selection by Urszula Jachymczyk, Paweł Knap, Krzysztof Lalik

“…The proposed method for reducing condition indicators successfully decreased their number by approximately 3.27 times, simultaneously significantly reducing computational time of prediction, reaching up to 50% reduction for complex models. In doing so, we lowered computational demands and improved classification efficiency without compromising accuracy for ML models. …”
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Solar Photovoltaic Diagnostic System with Logic Verification and Integrated Circuit Design for Fabrication by Abhitej Divi, Shuza Binzaid

“…Solar photovoltaic (PV) panels are the best solution to reduce greenhouse gas emissions by fossil fuel combustion, with global capability now exceeding 714 GW due to rapid technological advances in solar panels (SPs). However, SPs’ efficiency and lifespan remain limited due to the absence of advanced fault-detection systems, and they are prone to short circuits (SC), open circuits (OC), and power degradation. …”
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