Dual-Channel Deepfake Audio Detection: Leveraging Direct and Reverberant Waveforms by Gunwoo Lee, Jungmin Lee, Minkyo Jung, Joseph Lee, Kihun Hong, Souhwan Jung, Yoseob Han

“…While recent progress has been made in detection techniques, identifying deepfake audio remains particularly challenging. …”
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The prodromal individuals’ perspective on active recruitment for early detection of α-synucleinopathies by Sinah Röttgen, Eva Schaeffer, Annette Rogge, Ramona Hartung, Konstantin Kufer, Gereon R. Fink, Daniela Berg, Anja Ophey, Michael Sommerauer

“…Abstract Only the timely detection of individuals with incipient α-synucleinopathies can pave the way for developing disease-modifying therapies. …”
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A Transformer-Based Multiscale Difference Enhancement Network for Change Detection by Mengyang Pan, Hang Yang, Chengkang Yu, Mingqing Li, Anping Deng

“…Change detection (CD) is an important research field in remote sensing, aimed at identifying differences in multitemporal images. …”
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Detection of in silico SSR Markers Specific to Uzun and Kırmızı Cultivars in Pistachio by Harun Karcı

“…In the current paper, it was aimed to detect the SSR markers that can be used in the prevention of confusion that may occur in breeding or nurseries, and directly genetically separating Uzun and Kırmızı pistachio cultivars from other commercial cultivars. …”
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BEHAVE - facilitating behaviour coding from videos with AI-detected animals by Reinoud Elhorst, Martyna Syposz, Katarzyna Wojczulanis-Jakubas

“…In addition, programs that are able to do these AI detections are often not easy to install or require specialised hardware to run. …”
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Detecting Floating-Point Expression Errors Based Improved PSO Algorithm by Hongru Yang, Jinchen Xu, Jiangwei Hao, Zuoyan Zhang, Bei Zhou

“…The use of floating-point numbers inevitably leads to inaccurate results and, in certain cases, significant program failures. Detecting floating-point errors is critical to ensuring that floating-point programs outputs are proper. …”
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Automatic gait EVENT detection in older adults during perturbed walking by Shuaijie Wang, Kazi Shahrukh Omar, Fabio Miranda, Tanvi Bhatt

“…The results highlight the efficacy of kinematic approaches, demonstrating their potential in gait event detection for clinical settings. When integrated with wearable sensors or computer vision techniques, these methods enable real-time, precise monitoring of gait patterns, which is helpful for applying personalized programs for fall prevention. …”
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Multimodal Deep Learning in Early Autism Detection—Recent Advances and Challenges by Sheril Sophia Dcouto, Jawahar Pradeepkandhasamy

“…In recent years, the field of early diagnosis of ASD has been greatly impacted by the emergence of deep learning models, which have brought about a revolution by greatly improving the accuracy and efficiency of ASD detection. The objective of this review paper is to examine the recent progress in early ASD detection through the utilization of multimodal deep learning techniques. …”
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Wearable Fall Detection System with Real-Time Localization and Notification Capabilities by Chin-Kun Tseng, Shi-Jia Huang, Lih-Jen Kau

“…Despite significant progress in fall detection systems, many of the proposed algorithms remain difficult to implement in real-world applications. …”
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Artificial Intelligence-Based Skin Lesion Analysis and Skin Cancer Detection by Momina Qureshi, Muhammad Athar Javed Sethi, Sayed Shahid Hussain

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Detection of distress in rural road pavements: an analysis of UAV altitude variations by L. Inzerillo, F. Acuto, A. Pisciotta, K. Mantalovas, G. Di Mino

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Partnering with Young Parents to Improve Early Hearing Detection and Intervention Programmes by Genevieve Choi, Holly Teagle, Suzanne C. Purdy, Andrew Wood

“…<b>Background:</b> Early Hearing Detection and Intervention (EHDI) programmes must partner effectively with families navigating complex circumstances. …”
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Deep learning-based detection of wine bottle capsules for contamination prevention by Diego Caballero-Ramírez, Guilherme Tortorella, Jorge García-Alcaraz, Emilio Jiménez-Macías, Jorge Limon-Romero, Yolanda Baez-Lopez, Diego Tlapa

“…Despite the progress of Industry 4.0, the application of artificial intelligence (AI) for automated inspection in the wine industry remains limited. …”
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A Review of Research on Cloud Detection Methods for Hyperspectral Infrared Radiances by Zhuoya Ni, Mengdie Wu, Qifeng Lu, Hongyuan Huo, Chunqiang Wu, Ruixia Liu, Fu Wang, Xiaoying Xu

“…In this study, we review and summarize the principles and research progress of cloud detection methods for the hyperspectral IR in the past two decades. …”
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SeagrassFinder: Deep learning for eelgrass detection and coverage estimation in the wild by Jannik Elsäßer, Laura Weihl, Veronika Cheplygina, Lisbeth Tangaa Nielsen

“…This work explores the use of deep learning models to automate the process of seagrass detection and coverage estimation from underwater video data. …”
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eDNA‐Based Detection of Invasive Crayfish and Crayfish Plague in Estonia by Michael Oliewo Aluma, Katrin Kaldre, David A. Strand, Margo Hurt, Lilian Pukk

“…ABSTRACT In Estonia, three invasive North American crayfish species—Pacifastacus leniusculus, Faxonius limosus, and Procambarus virginalis—have been detected through the annual monitoring program. To protect Astacus astacus, the only native freshwater crayfish species in Estonia, rapid and effective conservation‐based management actions are necessary. …”
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Navigating uncertainty in environmental DNA detection of a nuisance marine macroalga. by Patrick K Nichols, Kaʻuaʻoa M S Fraiola, Alison R Sherwood, Brian B Hauk, Keolohilani H Lopes, Colt A Davis, James T Fumo, Chelsie W W Counsell, Taylor M Williams, Heather L Spalding, Peter B Marko

“…Early detection of nuisance species is crucial for managing threatened ecosystems and preventing widespread establishment. …”
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Detection of HPV Infection and the Current Status of Vaccine Research: A Review by Liuli Su, Hongling Peng, Xiang He

“…And it also concludes the research progress of preventive HPV vaccines and therapeutic HPV vaccines to provide new ideas for the future development of HPV vaccines. …”
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Advancements in electrochemiluminescence-based sensors for ultra-sensitive pesticide residue detection by Irkham, Chico Permana Putra, Clianta Yudin Kharismasari, Salma Nur Zakiyyah, Isnaini Rahmawati, Ivandini Tribidasari Anggraningrum, Wulan Tri Wahyuni, Giovanni Valenti, Francesco Paolucci, Yeni Wahyuni Hartati

“…This literature review discusses the progress in research on detecting pesticide residues using ECL methods. …”
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Wildlife detection, counting and survey using satellite imagery: are we there yet? by Alexandre Delplanque, Jérôme Théau, Samuel Foucher, Ghazaleh Serati, Simon Durand, Philippe Lejeune

“…We reviewed all taxa and geographic area studies that use satellite imagery for wildlife detection, counting and surveys. Through an analysis of 49 peer-reviewed papers, this study examined the sensors and resolutions employed along with the methods used to detect, count and survey wildlife in various biomes. …”
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