EEG-based schizophrenia diagnosis using deep learning with multi-scale and adaptive feature selection by Alanoud Al Mazroa, Majdy M. Eltahir, Shouki A. Ebad, Faiz Abdullah Alotaibi, Venkatachalam K, Jaehyuk Cho

“…This is because schizophrenia involves intricate and subtle brain wave patterns that make it difficult to detect the disorder from EEG signals. As such, our model uses an “atrous” convolution operation to extract multi-scale temporal information and a cascade network structure that progressively improves the attribute representations across layers. …”
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Occurrence of Uncultured <i>Legionella</i> spp. in Treated Wastewater Effluent and Its Impact on Human Health (SCA.Re.S Project) by Osvalda De Giglio, Giusy Diella, Francesco Bagordo, Antonella Francesca Savino, Angelantonio Calabrese, Mariavirginia Campanale, Francesco Triggiano, Francesca Apollonio, Valentina Spagnuolo, Marco Lopuzzo, Tiziana Grassi, Maria Clementina Caputo, Silvia Brigida, Federica Valeriani, Vincenzo Romano Spica, Maria Teresa Montagna

“…<i>Legionella</i> was detected only with the molecular methods (except in one sample of effluent positive for <i>L. pneumophila</i> serogroup 6), which showed viable <i>Legionella pneumophila</i> and <i>L.…”
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Novel approaches to diagnostic imaging of locally advanced cervical cancer by N. G. Trukhacheva, I. G. Frolova, L. A. Kolomiets, A. V. Usova, E. G. Grigor’ev, S. A. Velichko, O. N. Churuksaeva

“…However, the use of functional mRitechniques has not yet been included in the standards. cervical cancer tissue has been found to show significantly lower diffusion-weighted imaging (dWi) values than normal cervical tissue, thus facilitating the detection of tumor and its spread. dWiis also used for differentiating changes after biopsy from residual tumor and for identifying small lymph nodes. the pEt/cttechnique combines the metabolic images of pEtwith anatomical images of ctand is more accurate than high resolution ctalone, especially in determining the involvement of regional lymph nodes and distant organs. 18-Fdg-pEt/cthas been successfully used for accurate staging of the disease (especially late stage), assessment of treatment response, radiotherapy planning, and detection of disease progression. in patients with advanced stages of cervical cancer (iiBiV stage), the 18-Fdg-pEt/ ctfindings can determine the treatment strategy in most cases, primarily due to high sensitivity (75–100 %) and specificity (87–100 %) in the detection of lymph node metastases.…”
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Increasing the efficiency of osseointegration in dental implantation in patients with diabetic osteopathy by remodeling bone tissue and intensifying its density. by O.O. Gudarian, D.O. Cherednyk

“…The purpose of the study was to increase the effectiveness of osseointegration of implants in dental implantation in patients with rapidly progressing generalized periodontitis combined with diabetic osteopathy by restoring normal remodeling of bone tissue and intensifying its density. …”
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A Enhancement the Efficiency of Solar Cell by using Internet of Things Applications by Mohammed Hassan Mjhool, Haider Th. Salim AL Rikabi AL Rikabi, Mansour S. Farhan AL Rikabi

“…Preventive maintenance, fault detection, historical PV panel analysis, and real-time monitoring can become more accessible than the classical methods. …”
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A systematic – Review of academic stress intended to improve the educational journey of learners by Iqra

“…As learners progress through their educational path, they experience various hassles and transitions, certainly encountering stress along the way. …”
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Enhancing leaf disease classification using GAT-GCN hybrid model by Shyam Sundhar, Riya Sharma, Priyansh Maheshwari, Suvidha Rupesh Kumar, T. Sunil Kumar

“…Agriculture plays a critical role in the global economy, providing livelihoods and ensuring food security for billions. Progress in agricultural techniques has helped boost crop yield, along with a growing need for precise disease monitoring solutions. …”
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Classification and application of deep learning in construction engineering and management – A systematic literature review and future innovations by Qingze Li, Yang Yang, Gang Yao, Fujia Wei, Rui Li, Mingtao Zhu, Huiwen Hou

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The features of PD-L1 expression in tumor stromal cells, peritumoral microvessels and isolated clusters of tumor cells in breast cancer tissue and their correlation with clinical a... by E. Yu. Zubareva, M. A. Senchukova, T. A. Karmakova, N. V. Zaitsev

“…The data indicate the relationship between PD-L1 expression and BC progression. The determination of PD-L1 expression in peritumoral microvessels and isolated tumor cell clusters, as well as nuclear expression of the marker, can be used to clarify the prognosis of the disease.…”
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Harnessing image processing for precision disease diagnosis in sugar beet agriculture by Varucha Misra, A.K. Mall

“…The urgency of developing faster and more practical methods becomes evident, highlighting the need to decrease human errors in identifying plant diseases and assessing their severity and progression. This review showcases the potential of image processing technology in revolutionizing disease detection strategies for sugar beet crops. …”
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Implementation of International Caries Classification and Management System (ICCMS™) Protocols in School-going Children for Control of Dental Caries: A Prospective Observational St... by Srishtee Singh, Richa Khanna, Rakesh Kumar, Rajeev K Singh, Afroz A Ansari, Vikram Khanna

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Autonomous identity-based threat segmentation for zero trust architecture by Sina Ahmadi

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A Comparative Study for Localization of Forgery Regions in Images by Mustafa Ozden, Canberk Sahin

“…As computer technologies and image processing software have advanced, it has become progressively easier to produce simple fake or forged images by altering digital images without leaving any discernible trace. …”
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Research Status of Agricultural Nanotechnology and Its Application in Horticultural Crops by Xiaobin Wen, Zhihao Lin, Bin Sheng, Xueling Ye, Yiming Zhao, Guangyang Liu, Ge Chen, Lin Qin, Xinyan Liu, Donghui Xu

“…This review focuses on the horticultural industry, comprehensively expounding the research status and application progress of agricultural nanotechnology in aspects such as the growth regulation of horticultural crops and the quality detection and preservation of horticultural products. …”
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Advances in intelligent identification of fiber-optic vibration signals in oil and gas pipelines by Xiaohui Lin, Gang Li, Yilin Wang, Kehong Zeng, Wenming Yang, Fuyong Wang

“…Based on the principles and characteristics of distributed fiber optic monitoring technology, this paper introduces the current research progress in identifying fiber optic vibration signals in oil and gas pipelines and summarizes their applications. …”
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DelAwareCol: Delay Aware Collaborative Perception by Ahmed N. Ahmed, Siegfried Mercelis, Ali Anwar

“…Our experimental results demonstrate that DelAwareCol achieved state-of-the-art performance in collaborative object detection, maintaining robust performance in the presence of high latency and localization error.…”
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Enhanced DL-Based Breast Cancer Diagnosis and Classification Using Modified DenseNet-121, DenseNet-201, and MobileNetV2: Optimized Architectures and Refined Activation Functions by Khaddouj Taifi, Yassine Sabbar, Hanin Ardah, Abdel-Haleem Abdel-Aty

“…Deep learning has revolutionized medical image analysis, particularly in the domain of breast cancer detection. Despite notable progress, further optimization of neural network architectures and activation functions remains critical for enhancing classification accuracy and model generalization. …”
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N6-methyladenine identification using deep learning and discriminative feature integration by Salman Khan, Islam Uddin, Sumaiya Noor, Salman A. AlQahtani, Nijad Ahmad

“…Despite the rapid progress of machine learning in bioinformatics, accurately detecting 6 mA sites remains a challenge due to the limited generalizability and efficiency of existing approaches. …”
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Simultaneous quantification of trace heavy metals in mushrooms using a three-dimensional highly reduced graphene oxide/Fe3O4 nanocomposite-based electrochemical sensor by Yiming Tian, Pingsheng Zhong, Kai Zhou, Lufei Zheng, Jiali Ren

“…This study represents the pioneering utilization of 3D-HRGO/Fe3O4 as a foundational material for an electrochemical sensor capable of simultaneous detection of multiple metals, thereby advancing the progress of on-site and expeditious detection techniques.…”
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Precise Spatial Prediction of Rice Seedlings From Large-Scale Airborne Remote Sensing Data Using Optimized Li-YOLOv9 by Jayakrishnan Anandakrishnan, Arun Kumar Sangaiah, Hendri Darmawan, Nguyen Khanh Son, Yi-Bing Lin, Mohammed J. F. Alenazi

“…Rice is pivotal in global food security and Rice seeding detection in precision agriculture is essential for optimizing crop productivity and efficient resource use. …”
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