Early breast cancer detection in CT scans using convolutional neural bidirectional feature pyramid network by Tahani Jaser Alahmadi, Adeel Ahmed, Amjad Rehman, Abeer Rashad Mirdad, Bayan Al Ghofaily, Shehryar Ali

“…Using convolutional neural networks, we defined several layers to classify the diseased and normal CT scan images. …”
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Empowering farmers through science communication: A framework for pesticide risk awareness and adoption by Shahbaz Aslam, Babar Hussain, Sohail Riaz, Muhammad Yousaf, Babar Sohail, Faiz Ullah, Sajid Hussain

“…The findings highlight that a dual-layered communication strategy combining individual health risk awareness (HBM) with community-driven adoption mechanisms (DOI) enhances safe pesticide practices. …”
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Adaptive Spectral Correlation Learning Neural Network for Hyperspectral Image Classification by Wei-Ye Wang, Yang-Jun Deng, Yuan-Ping Xu, Ben-Jun Guo, Chao-Long Zhang, Heng-Chao Li

“…Taking advantage of the group convolutional and ConvLSTM3D layers, a new adaptive spectral correlation learning block (ASBlock) is designed as a basic network unit to construct the backbone of a spatial–spectral feature extraction model for learning the spectral information, extracting the spectral-enhanced deep spatial–spectral features. …”
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Performance Analysis of Superposition M-ary QAM Modulation in Coded Protograph LDPC MIMO Communication Systems With Low-Resolution ADCs by Duc A. Hoang, Hieu T. Nguyen, Thang N. Le

“…Our approach leverages a message-passing (MP) algorithm that decomposes each high-order symbol into multiple BPSK layers, enabling more tractable soft-interference cancellation and extrinsic information updates. …”
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Intelligent Detection of Tomato Ripening in Natural Environments Using YOLO-DGS by Mengyuan Zhao, Beibei Cui, Yuehao Yu, Xiaoyi Zhang, Jiaxin Xu, Fengzheng Shi, Liang Zhao

“…Next, based on the YOLO v10 algorithm, this paper removes redundant detection layers to enhance the model’s ability to capture specific features and further reduce the number of parameters. …”
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Geospatial intelligence and multi-criteria analysis for mapping groundwater potential zones and sustainable resource management in Wadi Qena Basin, Eastern Desert, Egypt by El-Taher M. M. Shams, Rashad Sawires, Sahar N. E. Tawfiq, Hanaa R. Youssef, Wenzhao Li, Hesham El-Askary

“…The results demonstrate that the integration of AHP, remote sensing, and GIS techniques is effective for precise groundwater resource assessment, planning, and monitoring in arid regions like Wadi Qena. …”
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Novel Wavelet Convolutional Neural Networks for Signal Detection in OFDM-IM Systems by Yang Zhao, SI-YU Zhang, Yuexia Zhang, Gongpu Wang, Behnam Shahrrava

“…To achieve efficient deep learning based OFDM-IM detection, this paper proposes two novel OFDM-IM signal detection networks that integrate wavelet transforms with CNNs (WTConv). The first proposed network, referred to as Dual Stage Wavelet Convolutions (DS-WTConv), adopts a dual stage architecture. …”
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Advanced Defect Detection in Wrap Film Products: A Hybrid Approach with Convolutional Neural Networks and One-Class Support Vector Machines with Variational Autoencoder-Derived Cov... by Tatsuki Shimizu, Fusaomi Nagata, Maki K. Habib, Koki Arima, Akimasa Otsuka, Keigo Watanabe

“…We compare our methodology against feature vectors derived from the fully connected layers of established CNN models, AlexNet and VGG19, offering a comprehensive benchmarking perspective. …”
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Exploring lytic phage therapy as an alternative treatment for antibiotic-resistant Cutibacterium acnes by Meryem Nisa Erdoğan, Nurver Ulger Toprak, Jens Andre Hammerl, Aycan Gundogdu

“…Phage activity was tested on double-layered agars and observed activity was further tested by serial dilution and re-incubation to isolate stock phages. …”
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Deep Learning Framework Using Transformer Networks for Multi Building Energy Consumption Prediction in Smart Cities by Samuel Moveh, Emmanuel Alejandro Merchán-Cruz, Maher Abuhussain, Yakubu Aminu Dodo, Saleh Alhumaid, Ali Hussain Alhamami

“…The framework incorporated weather parameters, occupancy patterns, and historical energy consumption data through multi-head attention layers, employing a 4000-step warm-up period and adaptive regularization techniques. …”
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Research on Disaster Prevention and Control Technology for Directional Hydraulic Fracturing and Roof Plate Unloading by Dong Liu, Jiayue Deng, Tao Yang, Jie Zhang, Haifei Lin, Hui Liu, Jiarui Sun, Yiming Zhang

“…This allowed us to define the hydraulic fracturing parameters for the 3⁻¹ interbedded rock layers by integrating the process parameter calculations with the damage variables. …”
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Multichannel convolutional transformer for detecting mental disorders using electroancephalogrpahy records by Mamadou Dia, Ghazaleh Khodabandelou, Syed Muhammad Anwar, Alice Othmani

“…Our proposed model, the multichannel convolutional transformer, integrates the strengths of both convolutional neural networks and transformers. …”
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<i>Plasmodium falciparum</i> parasite prevalence in East Africa: Updating data for malaria stratification. by Victor A Alegana, Peter M Macharia, Samuel Muchiri, Eda Mumo, Elvis Oyugi, Alice Kamau, Frank Chacky, Sumaiyya Thawer, Fabrizio Molteni, Damian Rutazanna, Catherine Maiteki-Sebuguzi, Samuel Gonahasa, Abdisalan M Noor, Robert W Snow

“…To increase the use of this metric for decision making, there is a need to integrate other data layers on mortality related to malaria, malaria vector composition, insecticide resistance and bionomic, malaria care-seeking behaviour and current levels of unmet need of malaria interventions.…”
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Recent Developments on Biomineralization for Erosion Control by Shan Liu, Changrui Dong, Yongqiang Zhu, Zichun Wang, Yujie Li, Guohui Feng

“…This review supports the use of biomineralization as a sustainable alternative for shoreline protection, seabed stabilization, and offshore foundation integrity.…”
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A sustainable neuromorphic framework for disease diagnosis using digital medical imaging by Rutwik Gulakala, Marcus Stoffel

“…The framework comprises branched and densely connected layers described by a Leaky-Integrate and Fire (LIF) neuron model. …”
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Construction of Caco-2 cell hollow fiber bioreactor for the study on functional substances by XU Dongdong, CHU Qiang, YANG Yunyun, LÜ Xiangmin, ZHANG Yanzhen, ZHENG Xiaodong

“…In this way, the proliferation and differentiation of Caco-2 cells were compared and evaluated in three-dimensional hollow fiber bioreactor and two-dimensional models.Subsequently, time-dependent morphological observation of cell layers indicated that the Caco-2 cells cultured on hollow fiber, spread well and showed clear outline, and gradually formed confluent monolayer within 10 days. …”
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DRGNet: Enhanced VVC Reconstructed Frames Using Dual-Path Residual Gating for High-Resolution Video by Zezhen Gai, Tanni Das, Kiho Choi

“…The proposed method is built upon a high-resolution dual-path residual gating system, which integrates deep features from different convolutional layers and introduces convolutional blocks equipped with gating mechanisms. …”
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Towards precision diagnosis: a novel hybrid DC-CAD model for lung disease detection leveraging multi-scale capsule networks and temporal dynamics by Esther Stacy E. B. Aggrey, Qin Zhen, Seth Larweh Kodjiku, Linda Delali Fiasam, Collins Sey, Chiagoziem C. Ukwuoma, Evans Aidoo, Emmanuel Osei-Mensah

“…To address these challenges, we propose DC-CAD, a novel hybrid framework that integrates Dilated Capsule Networks, Channel-wise Attention Mechanisms, and Distanced Long Short-Term Memory for precise and early diagnosis of lung diseases. …”
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Rolling Bearing Fault Diagnosis Method Based on SWT and Improved Vision Transformer by Saihao Ren, Xiaoping Lou

“…Transfer learning further leverages pre-trained ResNet50 parameters to initialize the convolutional and residual layers of the ResCAA-ViT model, facilitating efficient feature extraction. …”
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Understanding personality pathology in a clinical sample of youth: study protocol for the longitudinal research project ‘APOLO’ by Nagila Koster, Igor Lusin, Paul T van der Heijden, Odilia M Laceulle, Marcel A G van Aken

“…The research project ‘APOLO’ (a Dutch language acronym for Adolescents and their Personality Development: a Longitudinal Study) is designed based on McAdams’ integrative three-layered model of personality development and assesses the interaction between dispositional traits, characteristic adaptations, the narrative identity and functioning.Methods and analysis APOLO is a longitudinal research project that takes place in two outpatient mental healthcare centres. …”
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