Deep Learning Multi-Modal Melanoma Detection: Algorithm Development and Validation by Nithika Vivek, Karthik Ramesh

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Development of a Nanostructured Electrochemical Genosensor for the Detection of the K-ras Gene by Luis Fernando Garcia-Melo, Miguel Morales-Rodríguez, Eduardo Madrigal-Bujaidar, Eduardo O. Madrigal-Santillán, José Antonio Morales-González, Rosa Natali Pineda Cruces, Jorge Alfredo Campoy Ramírez, Pablo Damian-Matsumura, Alexandro Tellez-Plancarte, Nikola Batina, Isela Álvarez-González

“…Thus, the electrochemical genosensor developed could be useful for the identification of diseases related with the K-ras oncogene.…”
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Development of Gas Sensors and Their Applications in Health Safety, Medical Detection, and Diagnosis by Jiayu Wang, Rui Wang

“…Gas sensors assume a crucial role in the medical domain, offering substantial support for disease diagnosis, treatment, medical environment management, and the operation of medical equipment by virtue of their distinctive gas detection capabilities. This paper presents an overview of the key research and development orientations for gas sensors, encompassing the exploration and optimization of novel sensitive materials, such as nanomaterials and metal oxides, to augment sensor sensitivity, selectivity, and stability. …”
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Development of the relationship between visual selective attention and auditory change detection by Yuanjun Kong, Xuye Yuan, Yiqing Hu, Bingkun Li, Dongwei Li, Jialiang Guo, Meirong Sun, Yan Song

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The Development and Validation of a Novel Smartphone Application to Detect Postural Instability by Shirin R. Hussain, W. Geoffrey Wright

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Development of an immunochromatographic assay for detection of Aflatoxin B1 in corn and rice by Tien Duc Chu, Trang Thi Thu Nguyen, Anh Tuan Le, Truong Thi Hoang, Chuyen Van Nguyen, Trung Hoang Nguyen, Hoa Thi Vu, Dat Trong Nguyen, Ngoc Thi Minh Nguyen, Tuan Ngoc Nguyen, Ba Van Nguyen

“…Results: Test strips were developed for the rapid detection of aflatoxin B1 in maize and rice. …”
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Development of a prototype fiber-optic biosensor for the detection of lipase inhibitors by Paikrao Hariprasad, Chandak Chanchal, Patil Anita, Ghuge Arun, Sangle Sandeep

“…With a sensitivity of 2.5 ​μg/mL, the element was developed to detect the presence of dichlorvos. The use of rhodamine B as an indicator to assay the lipase inhibitor on a microtiter plate also confirmed its presence. …”
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The Development of Digital Twin Baby Incubators for Fault Detection and Performance Analysis by Hatice Kabaoğlu, Emine Uçar, Fecir Duran

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Development and application of microfluidic sweat detection technology in mental health monitoring by Danni Zhao, Ran Chen, Shuyue Jiang, Weiwei Xie, Kaihuan Zhang, Jianlong Zhao, Shilun Feng, Shengtai Bian

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Sara Detection on Social Media Using Deep Learning Algorithm Development by M. Khairul Anam, Lucky Lhaura Van FC, Hamdani Hamdani, Rahmaddeni Rahmaddeni, Junadhi Junadhi, Muhammad Bambang Firdaus, Irwanda Syahputra, Yuda Irawan

“…This study develops a deep learning model using Convolutional Neural Network (CNN) and Bidirectional Long Short-Term Memory (BiLSTM) to detect SARA-related comments on Twitter. …”
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Development of Cellular Assays and Monoclonal Antibodies for Detecting Ferret Cytokine Responses by Ms M Meera Alagu Sundari, Dr Lekshmi Niveditha, Mr Saran Murugan, Ms Kavitha Sethumadhavan, Ms Sreelekshmi Sarasajan Reji, Ms Aishwarya Hatekar, Mr Amal Raj Rajendran, Ms Devi Krishna, Ms Susma Balasubramanian, Mr Akshay Das Valiyathara Rajan, Mr Harshal Srivastava, Dr Debby Van Riel, Dr Rory De Vries, Dr Victor Stalin Raj

“…Despite their importance in virology, there is a notable lack of established cellular assays to detect cellular responses in ferrets. This limitation hinders our detailed understanding of immune mechanisms and the development of targeted therapies. …”
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Design and development of an efficient RLNet prediction model for deepfake video detection by Varad Bhandarkawthekar, T. M. Navamani, Rishabh Sharma, K. Shyamala

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Development of Risk Activity Detection System for Forklifts Based on Inertial Sensors by Luciano Radrigan, Sebastian E. Godoy

“…For this reason, the detection of risk maneuvers to prevent accidents is essential. …”
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Development of Cracked Egg Detection Device Using Electric Discharge Phenomenon by Sung Yong Joe, Jun Hwi So, Seung Eel Oh, Soojin Jun, Seung Hyun Lee

“…This study was aimed at developing a novel device for detecting egg cracks using electric discharge phenomena. …”
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Development of a photoacoustic acquisition system and their proof-of-concept for hemoglobin detection by Bruna Pinheiro, Vânia Pinto, Hugo Dinis, Michael Belsley, Susana Catarino, Graça Minas, Paulo Sousa

“…Based on the measured frequency response of commercial piezoelectric transducers, an electronics design comprising a differential charge amplifier and a band-pass filter was developed. Experimentally it was verified Hb detection for concentrations of Hb between 2.5 and 10 mg/mL in aqueous solutions, roughly 48 times lower than the typical in vivo blood concentrations. …”
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Development of a droplet digital PCR assay for the detection of BK polyomavirus by Lu Ai, Yating Zhao, Chianru Tan, Lu Bai, Gang Huang, Ruizhi Wang, Hao Huang, Xuegao Yu, Yong Guo, Peisong Chen

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iSeizdiag: toward the framework development of epileptic seizure detection for healthcare by Ashish Sharma, Ashish Sharma, Akshat Saxena, Mradul Agrawal, Kunal Kishor, Deepti Kaushik, Prateek Jain, Arvind R. Yadav, Manob Jyoti Saikia, Manob Jyoti Saikia

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Development and validation of a rapid test kit for iodine detection in salt by Tauqeer Ahmad

“…Results indicated that the regression plot analysis of the developed kit produced an excellent average R² value of 0.9949. …”
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Knowledge Management in Road Accident Detection Based on Developed Deep Learning by Bvss Subbarao, Ramana K

“…Smartphone sensors can detect collisions. Few methods detect failures using cell phones. …”
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Developing an AI-based application for caries index detection on intraoral photographs by Niha Adnan, Syed Muhammad Faizan Ahmed, Jai Kumar Das, Sehrish Aijaz, Rashna Hoshang Sukhia, Zahra Hoodbhoy, Fahad Umer

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