• Machine Learning-Based Classification of Chronic Tibia Shaft Tissue Osteomyelitis using Bioimpedance Spectroscopy Thesis 

  Tito, Dibora Sintayehu (Jimma University, 2024-12-12)

  Chronic osteomyelitis, predominantly affecting the tibia bone stems from an inadequate treatment of post-fracture, with high prevalence in developing countries. This study endeavors to classify chronic tibia shaft ...
• Multiple Retinal Disease Classification system from Reti nal Images Usi Thesis 

  Kedir Jundi; Taye Tolu; Selamawit Haddush (2024-04)

  Retina is a metabolically active part of the eye, in which eye specific and systemic based diseases manifest themselves in it. Retinal imaging with fundus camera is pri marily technique to diagnosis common causes of ...
• Analysis of Heart Sound for Biometric Identification system using Bayesian Optimized Support vector machine (SVM) Thesis 

  Gazahegn, Kalkidan; K, Janarthanan; Hailu, Werqnesh (2024-05-31)

  Researchers have found that the distinctiveness of the phonocardiogram (PCG) signal can be used for biometric identification, unlike advances in heart sound analysis for screening and diagnosing different heart problems. ...
• Quantitative Dynamic Analysis of Phono Cardiogram with auto segmentation and alignment for the Detection of Heart conditions Thesis 

  Negasu Erko; Janarthanan Krishnamoorthy; Ahmed Ali (2024-03-04)

  The evaluation of sounds produced by the beating heart and the blood flow provide a useful method for the diagnosis of cardiovascular disease (CVD). The cardiac auscultation using the classical stethoscope is a well-known ...
• Empirical Wavelet Transforms-based Feature Extraction Of Vibroarthrographic Signal For Knee Osteoarthritis Detection And Stage Determination. Thesis 

  Chaltu Dadi; Kinde Anlay; Tewodros Belay (2024-01)

  Knee Osteoarthritis (KOA) is a disease that causes the knee joint cartilages to thin and the surfaces of the joint to become rougher, resulting in bone-on-bone contact, inflammation, and the formation of bone spurs, ...
• Development and implementation of e-Health and m-Health based referral Linkage for Ethiopian health tier system Thesis 

  Zerihun Dejenu; Gizeaddis Lamesgin; Asaye Birhanu (2023-08)

  A functional referral system is a key element of primary health care which is widely practiced throughout the world. Ethiopia has also prioritized patient referrals in its health policies and established a referral system ...
• Improving the Estimation and Detection of Kidney Stone from Ultrasound Image using Despeckling and Deep learning algorithms Thesis 

  Selam Berhanu; Janarthanan Krishnamoorthy; Hamdia Murad (2024-01-08)

  Kidney stone illness has been a severe reoccurring issue observed more frequently all over the world. By the other name “Nephrolithiasis” a deposition of crystallized minerals, acids and proteins found in urine within ...
• Developing and Implementing a Digital Spirometer for Preoperative and Postoperative Patients with Chest Surgery and Abdominal Laparotomy Thesis 

  Redi, Mihiret Yilma; Haile, Dawit Assefa; Niguse, Shimelis (2023-11-11)

  Post-surgery respiratory complications are serious problems that cause a significant number of morbidities and mortalities. In countries like Ethiopia with high respiratory disease rates, the lack of digital spirometers ...
• Multivariate Analysis of Fourier Transform Infrared Spectroscopy Data for Characterization of Breast Cancer Thesis 

  Rahel Sileshi; Gizeaddis Lamesgin; Elbetel Taye (2023-07-10)

  This thesis work presents a method for characterization of breast cancer using Fourier Transform Infrared (FTIR) spectroscopy. FTIR spectroscopy is a tool used to analyse the structure and chemical composition of both ...
• Detection and Severity Identification of Neonatal Seizure Using Deep Convolutional Neural Networks from Multichannel EEG Signal Article 

  Debelo, Biniam Seifu; Thamineni, Bheema Lingaiah; Dasari, Hanumesh Kumar; Dawud, Ahmed Ali (2023-11-01)

  One of the most frequent neurological conditions in newborns is neonatal seizures, which may indicate severe neurological dysfunction. These seizures may have very subtle or very modest clinical indications because ...
• Cardiac arrhythmia detection using deep learning approach and time frequency representation of ECG signals Article 

  Daydulo, Yared Daniel; Thamineni, Bheema Lingaiah; Dawud, Ahmed Ali (2023-10-09)

  Cardiac arrhythmia is a cardiovascular disorder characterized by disturbances in the heartbeat caused by electrical conduction anomalies in cardiac muscle. Clinically, ECG machines are utilized to diagnose and monitor ...
• Artificial Intelligence-Based Breast and Cervical Cancer Diagnosis and Management System Article 

  Zewde, Elbetel Taye; Degu, Mizanu Zelalem; Simegn, Gizeaddis Lamesgin (2023-02-23)

  Breast cancer and cervical cancer are two of the most common and deadly malignancies in women. Early diagnosis and treatment can save lives and improve quality of life. However, there is a shortage of pathologists and ...
• Detection of gastrointestinal tract disorders using deep learning methods from colonoscopy images and videos Article 

  Aliyi, Salih; Dese, Kokeb; Raj, Hakkins (2023-03-03)

  Colorectal cancer (CRC) is the world’s third most common cancer, with the second high est fatality rate. It is primarily the result of lower gastrointestinal tract (GI) disorders. The prevention of CRC mainly depends on ...
• Vision-Transformer-Based Transfer Learning for Mammogram Classification Article 

  Ayana, Gelan; Dese, Kokeb; Dereje, Yisak; Kebede, Yonas; Barki, Hika; Amdissa, Dechassa; Husen, Nahimiya; Mulugeta, Fikadu; Habtamu, Bontu; Choe, Se-Woon (2023-01-04)

  : Breast mass identification is a crucial procedure during mammogram-based early breast cancer diagnosis. However, it is difficult to determine whether a breast lump is benign or cancerous at early stages. Convolutional ...
• Developing a desktop application for drug-drug interaction checker ordered for chronic diseases in Ethiopian hospitals pharmacy Article 

  Lingaiah, Thamineni Bheema; Belay, Yibeltal Andarge; Dese, Kokeb (2022-03-23)

  Drug-drug interactions are a major cause of morbidity worldwide and are a leading source of treat ment inefcacy. They are classifed based on their pharmacological action on the body as major, moderate, and minor. Currently, ...
• Elite Oppositional Farmland Fertility Optimization Based Node Localization Technique for Wireless Networks Article 

  Bharathiraja, N.; Padmaja, Pydimarri; Rajeshwari, S. B; Kallimani, Jagadish S.; Buttar, Ahmed Mateen; Lingaiah, T. Bheema (2022-06-03)

  Wireless networks include a set of nodes which are connected to one another via wireless links for communication purposes. Wireless sensor networks (WSN) are a type of wireless network, which utilizes sensor nodes to ...
• A novel low-cost bubble continuous positive airway pressure device with pressure monitoring and controlling system for low resource settings Article 

  Feleke, Etagegnehu Dagnachew; Gebremaryam, Eyerusalem Gebremeskel; Regassa, Feven Tadele; Kuma, Hawi Rorissa; Sabir, Hayat Solomon; Abagaro, Ahmed Mohammed; Dese, Kokeb (2022-06-06)

  Currently bubble continuous positive airway pressure (bCPAP) is commonly used in low resource settings to treat respiratory distress. However, the accumulation of condensate in the patient’s exhalation limb during ...
• Developing a desktop application for drug-drug interaction checker ordered for chronic diseases in Ethiopian hospitals pharmacy Article 

  Lingaiah, Thamineni Bheema; Belay, Yibeltal Andarge; Dese, Kokeb (2022-09-11)

  Drug-drug interactions are a major cause of morbidity worldwide and are a leading source of treat ment inefcacy. They are classifed based on their pharmacological action on the body as major, moderate, and minor. Currently, ...
• Deep learning based fetal distress detection from time frequency representation of cardiotocogram signal using Morse wavelet: research study Article 

  Daydulo, Yared Daniel; Thamineni, Bheema Lingaiah; Dasari, Hanumesh Kumar; Aboye, Genet Tadese (2021-08-12)

  : Clinically cardiotocography is a technique which is used to monitor and evaluate the level of fetal dis tress. Even though, CTG is the most widely used device to monitor determine the fetus health, existence of high false ...
• Deep Learning Approaches for Cyberbullying Detection and Classification on Social Media Article 

  Lingaiah, T.Bheema (2022-06-11)

  As a result of the ease with which the internet and cell phones can be accessed, online social networks (OSN) and social media have seen a signi cant increase in popularity in recent years. Security and privacy, on the ...

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