• AUTOMATIC MAIZE VARIETIES IDENTIFICATION USING ARTIFICIAL NEURAL NETWORKIMAGE CLASSIFICATION TECHNIQUES 

  Getachew Gobena; Getachew Abebe (PhD) (Haramaya University, 2023-11)

  Maize is an economically important crop, which is contributing the highest of all food, industrial product and animal feeding revenues in Ethiopia. It is also the major cash crop of our country and farmers of the maize ...
• AUTOMATIC MAIZE VARIETIES IDENTIFICATION USING ARTIFICIAL NEURAL NETWORKIMAGE CLASSIFICATION TECHNIQUES 

  Getachew Gobena Wabulcho; Getachew Abebe (PhD (Haramaya University, 2023-11)

  Maize is an economically important crop, which is contributing the highest of all food, industrial product and animal feeding revenues in Ethiopia. It is also the major cash crop of our country and farmers of the maize ...
• AUTOMATIC CLASSIFICATION OF SEVERITY STAGES OF PLAQUE PSORIASIS BY USING IMAGE PROCESSING 

  EFTU FEYUMA; Getachew Abebe (PhD) (Haramaya University, 2023-11)

  Psoriasis is a common skin disease affecting all ages and sexes and is characterized by itchy, scaly patches most commonly on the knees, elbows, trunk, and scalp. The most common type is plaque psoriasis, which causes ...
• AUTOMATIC CLASSIFICATION OF TURCICUM LEAF BLIGHT AND COMMON RUST DISEASES ON MAIZE USING ARTIFICIAL NEURAL NETWORK 

  Lukas Daniel; Getachew Abebe (PhD); Prof. MashillaDejene (PhD) (Haramaya University, 2023-06)

  Maize is an important crop, but it is vulnerable to plant diseases such as maize turcicum leaf blight and common rust. Traditional methods to identify and classify maize leaf diseases have drawbacks. Therefore, this ...
• IDENTIFICATION OF THE PATTERN OF HUMAN HEART BEAT SOUND SIGNAL USING WAVELET ANALYSIS 

  JIBRIL ARIF; Getachew Abebe (PhD) (Haramaya University, 2023-06)

  This thesis work aimed at identification of the Pattern of Human Heart Beat Sound Signal Using Wavelet Analysis. It examined the scales of the sound due to abnormal heart sounds (heart murmur) to differentiate the normal ...
• AUTOMATIC CLASSIFICATION OF NORMAL AND ABNORMAL ORANGES USING IMAGING TECHNIQUES 

  Yihun Mengistu; Getachew Abebe (Ph.D.) (Haramaya University, 2023-04)

  The objective of this study is to classify normal and abnormal of orange using Image Processing and Artificial Neural Network. Machine vision and image processing techniques have been found increasingly useful in the ...
• CLASSIFICATION OF GENETICALLY VARIABLE WOLLEGA COFFEE BEANS USING IMAGING TECHNIQUES AND ARTIFICIAL NEURAL NETWORK 

  Tariku Debela; Getachew Abebe (PhD) (Haramaya University, 2023-03)

  In this research work, a digital image analysis technique was used to classify Wollega coffee beans genotype based on their color and morphological features and performance evaluation (Accuracy, Specificity and Sensitivity) ...
• BREMSSTRAHLUNG CROSS SECTION IN THE SCATTERING OF AN ELECTRON BY COULOMB POTENTIAL 

  Tamirat Abriham; (PhD) Elias Mengesha (Haramaya University, 2022-05)

  In this thesis we have employed covariant perturbation theory and apply it to some quantum electrodynamics processes to calculate the transition probability and the differential cross section for the bremsstrahlung ...
• ELECTRON-POSITRON PAIR PRODUCTION FROM PHOTON IN THE PRESENCE OF NUCLEI 

  Tagesse Tamirat Kufebo; Dr. Elias Mengesha (Haramaya University, 2022-04)

  We have employed the Covariant Perturbation Theory and Feynman rules to calculate the transition probability to the process of electron- positron pair production from photon in the field of atomic nuclei. The traces ...
• OBJECTIVE MEASURMENT AND MANAGEMENT OF TURICICUM LEAF BLIGHT [Exserohilum turcicum(Pass.) Leonard & Suggs] OF MAIZE (Zea mays L.) SEVERITY USING IMAGE PROCESSING 

  MESFIN BIRHANE; Getachew Abebe (PhD); Mashilla Dejene (PhD) (Haramaya University, Haramaya, 2021-06)

  Turcicum is caused by the fungus (Exserohilum turcicum (Pass.) Leonard & Suggs) and appear on the leaves of maize at any stage of growth. The turcicum leaf blight injures or kills the maize leaf tissues and thereby ...
• CLASSIFICATION OF BARLEY SEEDS BY USING IMAGE PROCESSING TECHNIQUES 

  Tegen Derbie; Getachew Abebe (PhD) (Haramaya University, 2022-11)

  In this research work, a digital image analysis technique was used to classify malt barley and food barley based on their color, morphological and textural features. From each sample, 50 images were captured. Three ...
• ELECTROWEAK THEORY OF NEUTRINO SCATTERING FROM LAMBDA-HYPERON: CASE OF NEUTRAL CURRENT PROCESS 

  Kabtamu Alemu; Gashaw Bekele (PhD) (Haramaya University, 2022-05)

  The main purpose of this study is to formulate the electroweak description of neutrino-induced weak transition of Lambda-hyperon. The norm-squared of invariant amplitude has been manipulated into contraction between ...
• DISEASE IDENTIFICATION USING FINGER NAIL IMAGE PROCESSING AND ENSEMBLE NEAREST NEIGHBOR CLASSIFIERS OF COLOR FEATURES 

  Sufian, Hussien(MSc); Abebe, Getachew (PhD) (2021-10)

  In the medical domain, image processing plays a vital role in identifying human diseases by inspecting the infected parts of the patient. Usually, human diagnosis is carried out through pathological tests. Those ...
• OBJECTIVE IDENTIFICATION OF HEART BEAT STATUS USING SPECTRAL ANALYSIS 

  Mehamedyasin, Salih; Abebe, (PhD) Getachew; G/slassie, Dr. Ashenafi (Haramaya university, 2021-01)

  Cardiac auscultation is one of the most important physical examination and a part of the first medical diagnostic procedures. In this study, the spectra of the heart beat sound to differentiate the normal and abnormal heart ...
• CLASSIFICATION OF WHEAT SEEDS BASED ON MORPHOLOGY AND COLOR FEATURES USING IMAGE PROCESSING TECHNIQUES 

  Yosef, Aschale; Abebe, (PhD) Getachew; Terefe, (PhD) Habtamu (Haramaya university, 2020-09)

  Wheat is one of the most important food sources in the world. Classification of wheat grains is essential for controlling the quality of wheat for flour industry, wheat traders and wheat researchers. The main focus of this ...
• OBJECTIVE IDENTIFICATION OF HEART BEAT STATUS USING SPECTRAL ANALYSIS 

  Mehamedyasin, Salih; Abebe, (PhD) Getachew; G/slassie, Dr. Ashenafi (Haramaya university, 2021-01)

  Cardiac auscultation is one of the most important physical examination and a part of the first medical diagnostic procedures. In this study, the spectra of the heart beat sound to differentiate the normal and abnormal heart ...
• AUTOMATIC DETECTION AND CLASSIFICATION OF MALARIA (PLASMODIUM FALCIPARUM) PARASITE GROWTH STAGES USING SHAPE ATTRIBUTES 

  Owata, Wondimu; Abebe, (PhD) Getachew (Haramaya university, 2020-10)

  Malaria is a leading cause of deaths globally. Rapid and accurate diagnosis of the disease is a key to its effective treatment and management. Identification of plasmodium parasites life stages and species forms part of ...
• AUTOMATIC SEGMENTATION AND CLASSIFICATION OF PHANTOM IMAGES FOR MAMMOGRAPHY QUALITY CONTROL 

  Berhe, Tekleweyni; Abebe, (PhD) Getachew (Haramaya university, 2019-12)

  Breast cancer is one of the most common forms of cancer in women worldwide. At present, mammography is one of the most reliable methods for early breast cancer detection. However, mammography images are difficult to interpret ...
• DEVELOPMENT OF AN APPROPRIATE ALGORITHM TO IDENTIFY AND CLASSIFY MALARIA PARASITE BY USING IMAGE PROCESSING 

  liranso, Kassa; abebe, Getachew Major Advisor (PhD) (Haramaya university, 2019-06)

  Malaria is a mosquito borne infectious disease of humans and other animals caused by protozoan parasite of the genus plasmodium. The vast majority of deaths are caused by P.f Maintaining one’s health is the most essential ...
• AUTOMATIC DETECTION, CLASSIFICATION AND COUNTING OF MALARIA PARASITES IN BLOOD SMEARS BY IMAGE PROCESSING 

  yemer, Jamal; abebe, Getachew Major Advisor (PhD) (Haramaya university, 2019-06)

  Malaria is an infectious disease caused by a peripheral blood parasite of the genus Plasmodium. Conventional microscopy, which is currently the gold standard for malaria diagnosis has occasionally proved inefficient since ...

View more